π«π· Made in France
Discover France's Leading Open Source Projects: Explore top-notch open source initiatives hailing from the vibrant tech community of France.
TOP Jupyter Notebook Projects
pyannote/pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
simoninithomas/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
MAIF/shapash
π Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
rom1504/clip-retrieval
Easily compute clip embeddings and build a clip retrieval system with them
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
hadrienj/deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
ogrisel/parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
ELS-RD/kernl
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
m2dsupsdlclass/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
dataflowr/notebooks
code for deep learning courses
The-AI-Summer/Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
INRIA/scikit-learn-mooc
Machine learning in Python with scikit-learn MOOC
ipython-books/cookbook-code
[DEPRECATED] See the new edition:
mxrch/penglab
π§ Abuse of Google Colab for cracking hashes.
maxjcohen/transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
diegoalejogm/gans
Generative Adversarial Networks implemented in PyTorch and Tensorflow
gpeyre/numerical-tours
Numerical Tours of Signal Processing
ipython-books/cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
cyrildiagne/instagram-3d-photo
A Chrome extension that adds a 3d photo effect to instagram pages.
poppy-project/poppy-humanoid
Poppy Humanoid is an open-source and 3D printed humanoid robot. Optimized for research and education purposes, its modularity allows for a wide range of applications and experimentations.
Denis2054/Transformers-for-NLP-2nd-Edition
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more
acids-ircam/diffusion_models
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
ogrisel/notebooks
Some sample IPython notebooks for scikit-learn
forax/java-guide
A guide of modern Java (Java 17)
bofenghuang/vigogne
French instruction-following and chat models
wbenbihi/hourglasstensorflow
Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation
nshaud/DeepNetsForEO
Deep networks for Earth Observation
Tixierae/deep_learning_NLP
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
retkowsky/Azure-OpenAI-demos
Azure OpenAI (demos, documentation, accelerators).
MarcoForte/FBA_Matting
Official repository for the paper F, B, Alpha Matting
adsieg/text_similarity
Text Similarity
lium-lst/nmtpytorch
Sequence-to-Sequence Framework in PyTorch
White-Link/UnsupervisedScalableRepresentationLearningTimeSeries
Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
SMPyBandits/SMPyBandits
π¬ Research Framework for Single and Multi-Players π° Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on
mratsim/Amazon-Forest-Computer-Vision
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
PoCInnovation/Workshops
Workshops organized to introduce students to security, AI, blockchain, AR/VR, hardware and software
ipython-books/minibook-2nd-code
Code of the IPython Minibook, 2nd edition (2015)
ArdalanM/pyLightGBM
Python binding for Microsoft LightGBM
ahmedbesbes/cartoonify
Deploy and scale serverless machine learning app - in 4 steps.
woctezuma/stable-diffusion-colab
Colab notebook for Stable Diffusion Hyper-SDXL.
kelu124/echomods
Open source ultrasound processing modules and building blocks
DocstringFr/la-formation-complete-python
Code et ressources pour La Formation Complète Python
woctezuma/stylegan2-projecting-images
Projecting images to latent space with StyleGAN2.
YangtaoWANG95/TokenCut
(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"
thibo73800/tensorflow2.0-examples
Jupyter notebooks to help you started with tensorflow 2.0
gmonaci/ARIMA
Simple python example on how to use ARIMA models to analyze and predict time series.
ahmedbesbes/Neural-Network-from-scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
gtnx/pandas-highcharts
Beautiful charting of pandas.DataFrame with Highcharts
nikitakaraevv/pointnet
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
tcapelle/timeseries_fastai
fastai V2 implementation of Timeseries classification papers.
tjaskula/Coursera
These are my learning exercices from Coursera
acids-ircam/creative_ml
Creative Machine Learning course and notebook tutorials in JAX, PyTorch and Numpy
openfoodfacts/off-nutrition-table-extractor
Important: Please have a look at the higher level issue in Robotoff: openfoodfacts/robotoff#372 This is an old model and we have made progress since then.
lewagon/data-kit
Devenez Data-Scientist sur Le Wagon On Demand
simoninithomas/CatDCGAN
A DCGAN that generate Cat pictures π±βπ»
MAIF/eurybia
β Eurybia monitors model drift over time and securizes model deployment with data validation
fredokun/cl-jupyter
An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)
imalikshake/StyleNet
A cute multi-layer LSTM that can perform like a human πΆ
jfpuget/LibFM_in_Keras
This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.
Joseph94m/MCMC
Implementation of Markov Chain Monte Carlo in Python from scratch
tpaviot/pythonocc-demos
Examples and demos for the pythonocc CAD package
qanastek/HugsVision
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
thibo73800/capsnet-traffic-sign-classifier
A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset
poppy-project/poppy-ergo-jr
π€ Poppy Ergo Jr is an open-source robotic arm based on modular 3D printed conception and low-cost XL-320 motors.
BilHim/minecraft-world-generation
Replicating Minecraft World Generation inΒ Python
pylayers/pylayers
PyLayers is a Python platform for Site Specific Radio Propagation Simulation for Evaluating Indoor Localization algorithms using UWB radio signals including Human Indoor Mobility
tcapelle/apple_m1_pro_python
A collection of ML scripts to test the M1 Pro MacBook Pro
medialab/ipysigma
A Jupyter widget using sigma.js to render interactive networks.
thibo73800/aihub
I use this repository for my Youtube channel where I share videos about Artificial Intelligence. The repository includes Machine Learning, Deep Learning, and Reinforcement learning's code.
avidale/compress-fasttext
Tools for shrinking fastText models (in gensim format)
christophebourguignat/notebooks
acids-ircam/pytorch_flows
Implementation and tutorials of normalizing flows with the novel distributions module
DonsetPG/narya
The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository contains the implementation of the flowing paper https://arxiv.org/abs/2101.05388. We also make available all of our pretrained agents, and the datasets we used as well.
jfpuget/Kaggle
My solution to Web Traffic Predictions competition on Kaggle.
mortendahl/privateml
Various material around private machine learning, some associated with blog
TheophileBlard/french-sentiment-analysis-with-bert
How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset
SJD1882/MOOC-Coursera-Advanced-Machine-Learning
Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).
Eomys/pyleecan
Electrical engineering open-source software providing a user-friendly, unified, flexible simulation framework for the multiphysic design and optimization of electrical machines and drives
rom1504/image_embeddings
Using efficientnet to provide embeddings for retrieval
bayesimpact/bob-emploi
An application that provides personalized career and job search advice to jobseekers.
kelu124/un0rick
smallish ice40 / raspberrypi ultrasound hardware
alexis-jacq/Pytorch-Tutorials
Pytorch tutorials for Neural Style transfert
pollen-robotics/reachy-2019
Open source interactive robot to explore real-world applications!
houssamzenati/Adversarially-Learned-Anomaly-Detection
ALAD (Proceedings of IEEE ICDM 2018) official code
fotisk07/Deep-Learning-Coursera
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
ashrefm/multi-label-soft-f1
Train a multi-label image classifier with macro soft-F1 loss in TensorFlow 2.0
woctezuma/finetune-detr
Fine-tune Facebook's DETR (DEtection TRansformer) on Colaboratory.
jilljenn/ktm
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
valeoai/RADIal
zaccharieramzi/fastmri-reproducible-benchmark
Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.
Naereen/notebooks
π A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc
diegoalejogm/Reinforcement-Learning
Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)
ahmedbesbes/How-to-score-0.8134-in-Titanic-Kaggle-Challenge
Solution of the Titanic Kaggle competition
kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
SalvatoreRa/tutorial
Tutorials on machine learning, artificial intelligence, data science with math explanation and reusable code (in python and R)
baldassarreFe/graph-network-explainability
Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)
Vicam/Unsupervised_Anomaly_Detection
A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.
MarcoForte/DeepInteractiveSegmentation
Getting to 99% Accuracy in Interactive Segmentation and Interactive Training and Architecture for Deep Object Selection
RobotEdh/Yolov-4
Yolo v4 using TensorFlow 2.x
juliensimon/dlnotebooks
INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks