MehdiAbbanaBennani's Stars
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
deezer/spleeter
Deezer source separation library including pretrained models.
facebookresearch/fastText
Library for fast text representation and classification.
huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
fossasia/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
facebookresearch/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
pytorch/captum
Model interpretability and understanding for PyTorch
SeldonIO/seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
catalyst-team/catalyst
Accelerated deep learning R&D
tensorforce/tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning
Lightning-Universe/lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
GMvandeVen/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
csound/csound
Main repository for Csound
CMA-ES/pycma
Python implementation of CMA-ES
uber/fiber
Distributed Computing for AI Made Simple
huggingface/pytorch-pretrained-BigGAN
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
Hannah-Sten/TeXiFy-IDEA
LaTeX support for the IntelliJ platform by JetBrains.
cpnota/autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
swansonk14/typed-argument-parser
Typed argument parser for Python
GT-RIPL/Continual-Learning-Benchmark
Evaluate three types of task shifting with popular continual learning algorithms.
fabiopardo/tonic
Tonic RL library
accel-brain/accel-brain-code
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
facebookresearch/agem
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
flowersteam/teachDeepRL
imirzadeh/stable-continual-learning
Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
Feryal/automated-curriculum-rl
sgoldt/hidden-manifold-model
Tools to train neural networks on structured data sets
cambridgeltl/bio-simverb