Philip Vollet @philipvollet Twitter profile | Pikagi

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Philip Vollet

@philipvollet

29,533

Followers

5,482

Following

1,859

Media

16,927

Statuses

Head of Developer Growth @weaviate_io & Open source lover tweeting about machine learning and data science projects.

Berlin, Germany

https://t.co/ldgzxjp2Hu

Joined November 2011

Don't wanna be here? Send us removal request.

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@philipvollet

Philip Vollet

2 years

When Nvidia said they were sending me a DGX A100 for machine learning, they didn't say I had to build a room for it! Say hello to Zubi & Oompa Loompa 🐈 btw. these are Maine Coons, they are a bit smaller than tigers. I am not prone to exaggeration. How big was the Cray-1 🤔

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@philipvollet

Philip Vollet

2 years

NN-SVG is a tool for creating Neural Network architecture drawings parametrically rather than manually! It also provides the ability to export those drawings to Scalable Vector Graphics (SVG) files, suitable for inclusion in academic papers or web pages

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@philipvollet

Philip Vollet

2 years

PlotNeuralNet: Use LaTex for making neural networks diagrams!

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@philipvollet

Philip Vollet

2 years

NN-SVG is a tool for creating Neural Network architecture drawings parametrically rather than manually! It also provides the ability to export those drawings to Scalable Vector Graphics (SVG) files, suitable for inclusion in academic papers or web pages

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@philipvollet

Philip Vollet

2 years

The entire Python Data Science Handbook in the form of free Jupyter notebooks!

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@philipvollet

Philip Vollet

2 years

Parsr transforms PDF, documents, and images into enriched structured data

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@philipvollet

Philip Vollet

2 years

handcalcs: a library to render Python calculation code automatically in Latex for your Jupyter Notebook! In a manner that mimics handwritten math: write the symbolic formula, followed by numeric substitutions, and then the result.

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@philipvollet

Philip Vollet

2 years

In need to draw your system architecture? Don't want to use slow and expensive Microsoft Visio? Diagrams lets you draw your system architecture in Python code. It was born for prototyping a new system architecture design without any design tools.

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@philipvollet

Philip Vollet

2 years

Book lottery! Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python. @rasbt Like and you're in the pool for one of three copies!

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@philipvollet

Philip Vollet

2 years

Thinking about how to visualize text? Here is a huge collection of possibilities for inspiration!

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@philipvollet

Philip Vollet

2 years

This repository contains Jupyter notebooks implementing the code samples found in the book Deep Learning with Python GitHub Book

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@philipvollet

Philip Vollet

3 years

River is a Python library for online machine learning. It is the result of a merger between creme and scikit-multiflow. River's ambition is to be the go-to library for doing machine learning on streaming data.

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@philipvollet

Philip Vollet

2 years

Gooey — Turn (almost) any Python command line program into a full GUI application with one line! pip install Gooey Don't forget to star the repository!

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@philipvollet

Philip Vollet

2 years

Top2Vec is an algorithm for topic modeling and semantic search. It automatically detects topics present in text and generates jointly embedded topic, document and word vectors. GitHub Paper

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@philipvollet

Philip Vollet

3 years

Where to get data for your next machine learning project? An overview of 8 amazing resources to accelerate your next project with data! - Google Datasets - Big Bad NLP Datasets - Hugging Face Datasets - Papers with Code Datasets - Open Data on AWS - Awesome Public Datasets

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@philipvollet

Philip Vollet

3 years

Do you need social media data for your machine learning project? - Twitter data? - Reddit data? - Facebook data? Where to get it?

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@philipvollet

Philip Vollet

2 years

Thinking about how to visualize text? Here is a huge collection of possibilities for inspiration!

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@philipvollet

Philip Vollet

2 years

Create super fast animated charts for your Jupyter Notebook with ipyvizzu pip install ipyvizzu Don't forget to star the repository!

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@philipvollet

Philip Vollet

2 years

Pandas Tutor lets you write Python pandas code in your browser and see how it transforms your data step-by-step.

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@philipvollet

Philip Vollet

2 years

Orchest: build data pipelines, the easy way! No frameworks. No YAML. Just write Python and R code in Notebooks. Don't forget to star the repository!

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@philipvollet

Philip Vollet

2 years

Objectron a dataset of 15,000 annotated videos and 4M annotated images! GitHub

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Philip Vollet

4 years

PruneBERT has just been released save up to 97% of the original parameters and win incredible performance Paper GitHub #deeplearning #machinelearning #python #nlp #datascience @huggingface

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@philipvollet

Philip Vollet

3 years

PlotNeuralNet: Latex code for making neural networks diagrams

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@philipvollet

Philip Vollet

2 years

Using Self-Organizing Maps to solve the Traveling Salesman Problem

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@philipvollet

Philip Vollet

3 years

Where to find trending machine learning papers? 3 tools to find what's trending:

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@philipvollet

Philip Vollet

2 years

Roadmap to becoming an Artificial Intelligence Expert!

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@philipvollet

Philip Vollet

3 years

Draw the architecture in Python code Prototyping a new system architecture design without any design tools. $ pip install diagrams

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@philipvollet

Philip Vollet

2 years

Awesome Explainable Graph Reasoning! A collection of research papers and software related to explainability in graph machine learning. @benrozemberczki Don't forget to spend some star love for the repository!

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@philipvollet

Philip Vollet

2 years

Schedule your Jupyter Notebooks and send the results as HTML report! Notebooker executes your Jupyter notebooks when you commit to Git! Turning your Jupyter Notebook into a production-style web-based report in a few clicks.

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@philipvollet

Philip Vollet

3 years

The unofficial PyTorch implementation of the Attention Free Transformer by Apple Inc. $ pip install aft-pytorch Don't forget to spend some star love for the repository!

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@philipvollet

Philip Vollet

9 months

StackOverflow implemented its semantic search solution with Weaviate. How did they do it? They used a pre-trained BERT model from the SentenceTransformers library to generate the embeddings. Their reasons for using Weaviate: it's open source, and you can host it on your own…

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@philipvollet

Philip Vollet

2 years

I am looking for interns to help me build our Community at @explosion_ai - Become our next NLP & Machine Learning advocate - Build content and projects with our stack - Paid & full remote - We will slowly introduce you to the role and help you learn!

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@philipvollet

Philip Vollet

3 years

Awesome Bioinformatics A curated list of awesome Bioinformatics software, resources, and libraries. Mostly command line based, and free or open-source.

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@philipvollet

Philip Vollet

2 years

The Last Machine & Deep-Learning Compendium You’ll Ever Need!

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@philipvollet

Philip Vollet

3 years

Open Source Alternatives 200+ open source alternatives to tools that businesses require in day-to-day operations

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@philipvollet

Philip Vollet

2 years

tsai is an open-source deep learning package built on top of Pytorch & fastai focused on state-of-the-art techniques for time series tasks like classification, regression, forecasting, imputation

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@philipvollet

Philip Vollet

3 years

Kobra a visual programming language for machine learning. Kobra is designed to help you learn machine learning without needing to learn how to code first.

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@philipvollet

Philip Vollet

3 years

Insights from an open source influencer I'm often asked how I get my content, over the years I've built an unusual technology stack for it Some insights:

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@philipvollet

Philip Vollet

2 years

Manim is an animation engine for explanatory math videos. It's used to create precise animations programmatically, as demonstrated in the videos of 3Blue1Brown.

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@philipvollet

Philip Vollet

2 years

RPA for Python a package for doing Robotic Process Automation in Python $ pip install rpa

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@philipvollet

Philip Vollet

2 years

D-Tale your GUI for pandas dataframes. It's like Excel for pandas! Your new tool for super-fast Exploratory Data Analysis (EDA) pip install dtale

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@philipvollet

Philip Vollet

2 years

Parsr transforms PDF, documents, and images into enriched structured data

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@philipvollet

Philip Vollet

3 years

darts a Python library for easy manipulation and forecasting of time series. It contains a variety of models, from classics such as ARIMA to deep neural networks.

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@philipvollet

Philip Vollet

3 years

FLAML - Fast and Lightweight AutoML by Microsoft a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically.

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@philipvollet

Philip Vollet

2 years

TorchDrug is a PyTorch-based machine learning toolbox designed for drug discovery!

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@philipvollet

Philip Vollet

2 years

Pyinstrument a Python profiler whichs help you optimize your code - make it faster. To get the biggest speed increase you should focus on the slowest part of your program. Pyinstrument helps you find it! $ pip install pyinstrument

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@philipvollet

Philip Vollet

3 years

A clone version of Github Copilot. Instead of using AI, this extension send your search query to google, retrive stackoverflow answers and autocomplete them for you. @harishkgarg

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@philipvollet

Philip Vollet

3 years

New release VizTracer 0.14.0 analyze your Python code and find bottlenecks and problems during the execution of your program

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@philipvollet

Philip Vollet

2 years

Book lottery: Machine Learning in Biotechnology and Life Sciences: Build machine learning models using Python and deploy them on the cloud! Like and you're in the pool for one of three copies! @PacktPub

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@philipvollet

Philip Vollet

3 years

GPT-J the open source cousin of GPT-3, everyone can use it! A 6 billion parameter, autoregressive text generation model trained on The Pile. @arankomatsuzaki Product Hunt GitHub The Pile dataset

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@philipvollet

Philip Vollet

3 years

applied-ml curated papers, articles, and blogs on data science & machine learning in production. @eugeneyan

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GitHub - eugeneyan/applied-ml: 📚 Papers & tech blogs by companies sharing their work on data...

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. - eugeneyan/applied-ml

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Philip Vollet

2 years

DocArray is a library for nested, unstructured data such as text, image, audio, video, 3D mesh. It allows deep learning engineers to efficiently process, embed, search, recommend, store, transfer the data with Pythonic API. JinaAI_

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@philipvollet

Philip Vollet

2 years

tldraw a tiny little drawing app!

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@philipvollet

Philip Vollet

2 years

Rich a Python library for rich text and beautiful formatting in the terminal! Rich can also render pretty tables, progress bars, markdown, syntax highlighted source code, tracebacks, and more — out of the box. @willmcgugan

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@philipvollet

Philip Vollet

2 years

geemap a Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

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@philipvollet

Philip Vollet

10 months

LLaMA2-Accessory an open-source toolkit for pre-training, fine-tuning and deployment of Large Language Models and multimodal LLMs - Pre-training: RefinedWeb & StarCoder - Single-modal - Multi-modal fine-tuning - LLM for API Control

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@philipvollet

Philip Vollet

2 years

Having trouble getting started with data annotation? Use bulk labeling to select clusters of text and annotate them 🤯 GitHub Bulk Binary annotation and a model in the loop Tutorial

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@philipvollet

Philip Vollet

2 years

Edit your DataFrame like a spreadsheet! Mito is a Python package that lets you turn your data into an interactive spreadsheet. Each edit you make in Mito will generate the equivalent Python in the code cell below.

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@philipvollet

Philip Vollet

2 years

Create super fast animated charts for your Jupyter Notebook with ipyvizzu pip install ipyvizzu Don't forget to star the repository!

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@philipvollet

Philip Vollet

2 years

Ploomber is the fastest way to build data pipelines! Use your favorite editor: Jupyter, VSCode, PyCharm to develop interactively and deploy without code changes as Kubernetes, Airflow, AWS Batch, and SLURM pipelines. pip install ploomber

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@philipvollet

Philip Vollet

2 years

Journalism AI – Quotes extraction for modular journalism - An NLP pipline to extract quotes from news articles using NER, add coreferencing information and format the results for an exploratory search tool! GitHub Blog

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@philipvollet

Philip Vollet

2 years

Google Research: Circuit Training: An open-source framework for generating chip floor plans with distributed deep reinforcement learning. Paper GitHub

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@philipvollet

Philip Vollet

3 years

New release: Aim v3.0.0 an open-source, self-hosted AI experiment tracking tool. Use Aim to deeply inspect hundreds of hyperparameter-sensitive training runs at once. GitHub Blog Web

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@philipvollet

Philip Vollet

2 years

ipygany: Jupyter into the third dimension - A new interactive widgets library that allows you to visualize and analyze volumetric data in your Jupyter Notebook!

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@philipvollet

Philip Vollet

2 years

RPA for Python a package for doing Robotic Process Automation in Python $ pip install rpa

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Philip Vollet

2 years

Graph Neural Networks for Novice Math Fanatics! @rishabh16_

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@philipvollet

Philip Vollet

2 years

Manim is an animation engine for explanatory math videos. It's used to create precise animations programmatically, as demonstrated in the videos of 3Blue1Brown.

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@philipvollet

Philip Vollet

3 years

How to deploy machine learning models as a micro service using FastAPI by @tiangolo Advantages of using FastAPI • Make your code components reusable • Highly maintained • Ease of testing • Quick in response time GitHub

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@philipvollet

Philip Vollet

3 years

How do you create a beautiful interface for your machine learning or data science project? Handmade from scratch? Any good tools? Sure there are incredible tools:

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Philip Vollet

3 years

The Machine & Deep Learning Compendium Open Book. A comprehensive resource for data scientists & ML engineers. Medium Book Web GitHub

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Philip Vollet

2 years

Kornia is a differentiable computer vision library for PyTorch It consists of a set of routines and differentiable modules to solve generic computer vision problems.

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@philipvollet

Philip Vollet

3 years

Transformers Interpret is a model explainability tool designed to work exclusively with the @huggingface transformers package Model explainability that works seamlessly with 🤗 transformerss. Explain your transformers model in just 2 lines of code.

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Philip Vollet

3 years

SQLModel is a library for interacting with SQL databases from Python code, with Python objects It is designed to be intuitive, easy to use, highly compatible & robust SQLModel is based on Python type annotations, and powered by Pydantic and SQLAlchemy

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@philipvollet

Philip Vollet

2 years

Extracting information from PDFs or scanned documents is still a challenge! Use the @huggingface LayoutLMv3 model and Prodigy to tackle this challenge ✨ Blog GitHub

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@philipvollet

Philip Vollet

2 years

NoiseCraft is an open source, browser-based visual programming language & platform for sound synthesis and music making that runs your a web browser @DrTBehrens

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@philipvollet

Philip Vollet

3 years

How do you create a beautiful interface for your machine learning or data science project? Handmade from scratch? Any good tools? Sure there are incredible tools:

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@philipvollet

Philip Vollet

2 years

txtai: build AI-powered semantic search applications! @DavidMezzetti Don't forget to star the repository!

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@philipvollet

Philip Vollet

2 years

The original Transformer implemented in PyTorch @gordic_aleksa

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Philip Vollet

2 years

The Rise of Open Source Challengers! @rajko_rad Don't forget to spend some claps for the article!

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@philipvollet

Philip Vollet

2 years

Kornia is a differentiable computer vision library for PyTorch It consists of a set of routines and differentiable modules to solve generic computer vision problems.

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@philipvollet

Philip Vollet

2 years

Pyinstrument a Python profiler whichs help you optimize your code - make it faster. To get the biggest speed increase you should focus on the slowest part of your program. Pyinstrument helps you find it! $ pip install pyinstrument

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Philip Vollet

3 years

TextDistance — python library for comparing distance between two or more sequences by many algorithms.

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@philipvollet

Philip Vollet

2 years

DocArray is a library for nested, unstructured data such as text, image, audio, video, 3D mesh. It allows deep learning engineers to efficiently process, embed, search, recommend, store, transfer the data with Pythonic API. @JinaAI_

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Philip Vollet

2 years

Orchest lets you code, run and monitor data pipelines all from your browser! It's an Airflow alternative that's easier to use. Instead of configuring cloud infrastructure, simply hit the schedule button in Orchest.

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@philipvollet

Philip Vollet

2 years

Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you!

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@philipvollet

Philip Vollet

2 years

FasterAI: Prune and Distill your models with FastAI and PyTorch! @HubensN

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@philipvollet

Philip Vollet

8 months

Today we're releasing Verba, the Golden RAGtriever It's completely open source, so you can bring your own data like internal knowledge base and documentation Use Verba to build your own RAG Retrieval Augmented Generation pipeline and utilize LLMs for internal-based outputs…

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@philipvollet

Philip Vollet

3 years

RPA for Python a package for doing Robotic Process Automation in Python $ pip install rpa Features • Web automation • Visual automation • OCR automation • Keyboard automation • Mouse automation

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Philip Vollet

3 years

Unofficial PyTorch implementation of Fastformer. An efficient Transformer model based on additive attention.

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Philip Vollet

2 years

Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools! Book GitHub

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Philip Vollet

3 years

Layout Parser • A Python Library for Document Layout Understanding Github Paper Dataset $𝚙𝚒𝚙 𝚒𝚗𝚜𝚝𝚊𝚕𝚕 𝚕𝚊𝚢𝚘𝚞𝚝𝚙𝚊𝚛𝚜𝚎𝚛 _

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Philip Vollet

9 months

San Francisco is when your driver wrote software for the Nasa Pathfinder mission in 1997 🔴🚀 At first I was a bit skeptical but he knew so much about Assembly, C and some already dead programming languages 🤣 what a legend I started in the 90s with Turbo Pascal and Basic pure…

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@philipvollet

Philip Vollet

2 years

Panel a high-level app and dashboarding solution for Python! Panel provides tools for easily composing widgets, plots, tables, and other viewable objects and controls into custom analysis tools, apps, and dashboards @MarcSkovMadsen @Panel_org

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Philip Vollet

3 years

Not enough training data for your NLP project? Data augmentation to the rescue! The standard in visual machine learning can also be used in natural language processing. But it works slightly different

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@philipvollet

Philip Vollet

3 years

Implementation of ResMLP, an all MLP solution to image classification out of Facebook AI, in Pytorch $ pip install res-mlp-pytorch @lucidrains

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@philipvollet

Philip Vollet

2 years

The Synthetic Data Vault (SDV) is a synthetic data generation ecosystem to easily learn single-table, multi-table, and time-series datasets to generate new synthetic data that has the same format and statistical properties as the original dataset.

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Philip Vollet

2 years

Cog: Containers for machine learning an open source tool that lets you package machine learning models in a standard, production-ready container! - Docker containers without the pain - No more CUDA hell - Much more Don't forget to star the repository!

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Philip Vollet

3 years

Implementation of Vision Transformer a simple way to achieve SOTA in vision classification with only a single transformer encoder in Pytorch $ 𝚙𝚒𝚙 𝚒𝚗𝚜𝚝𝚊𝚕𝚕 𝚟𝚒𝚝-𝚙𝚢𝚝𝚘𝚛𝚌𝚑 GitHub Paper

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Philip Vollet

2 years

Mercury: easily convert Python notebook to web app and share with others!

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Philip Vollet

2 years

SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory.

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Philip Vollet

3 years

TorchIO medical image preprocessing and augmentation toolkit for deep learning in PyTorch. Efficiently read, preprocess, sample, augment, and write 3D medical images in deep learning applications.

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