RomainGratier's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
bitcoin/bitcoin
Bitcoin Core integration/staging tree
Leaflet/Leaflet
🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦
novuhq/novu
Open-Source Notification Platform. Embeddable Notification Center, E-mail, Push and Slack Integrations.
python-telegram-bot/python-telegram-bot
We have made you a wrapper you can't refuse
OpenZeppelin/openzeppelin-contracts
OpenZeppelin Contracts is a library for secure smart contract development.
TonnyL/Awesome_APIs
:octocat: A collection of APIs
qgis/QGIS
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)
EleutherAI/gpt-neo
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
brndnmtthws/thetagang
ThetaGang is an IBKR bot for collecting money
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
openpifpaf/openpifpaf
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
piEsposito/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
stan-dev/pystan
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
openfoodfacts/openfoodfacts-python
🐍 Python package for Open Food Facts
marcusklasson/GroceryStoreDataset
Grocery Store Dataset
scienceetonnante/ConwayLife
Code ayant servi à la création des animations de ma vidéo sur le jeu de la vie : https://youtu.be/S-W0NX97DB0
Picterra/picterra-python
Picterra Python API Client
nkanu17/image-classification-deep-neural-networks-groceries
Image classification using three different convolution deep learning neural networks
rsandstroem/IPythonNotebooks
RomainGratier/recipes-telegram-bot
Generate and recommend recipes based on photos of your fridge
RomainGratier/Black-box_Optimization_via_Deep_Generative-Exploratory_Networks
Deep neural networks have garnered tremendous excitement in recent years thanks to their superior learning capacity in the presence of abundant data resources. However, collecting an exhaustive dataset covering all possible scenarios is often slow, expensive, and even impractical. The goal of this project is to devise a new learning framework that can learn from a finite dataset and noisy feedback of data properties to discover novel samples of particular interest. We will design and implement algorithms to interweave emerging deep generative modeling with classical Markov decision processes. We will evaluate our method in comparison to existing approaches through extensive experiments, including but not limited to visual semantic extrapolation and natural adversarial examples in the context of autonomous vehicles.
DJanoskova/Vue.js-Tree-Data-Builder
Build data trees optimized for d3 structure quickly with this app!
RomainGratier/image-recognition-groceries
Test machine learning power to classify product