b-hahn's Stars
antocuni/jit30min
KarolisRam/MineRL2021-Research-baselines
daquexian/onnx-simplifier
Simplify your onnx model
google-research/batch_rl
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
alexeygrigorev/data-science-interviews
Data science interview questions and answers
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
takuseno/d3rlpy
An offline deep reinforcement learning library
google-research/sam
rom1504/img2dataset
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
mossr/BeautifulAlgorithms.jl
Concise and beautiful algorithms written in Julia
KarolisRam/MineRL2021-Intro-baselines
MineRL 2021 Intro track baselines
KAIST-AILab/gmmil
Contains an implementation of "Imitation Learning via Kernel Mean Embedding (2018, AAAI)"
bennylp/RL-Taxonomy
Loose taxonomy of reinforcement learning algorithms
google/brax
Massively parallel rigidbody physics simulation on accelerator hardware.
Textualize/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
joschu/jax-exp
facebookresearch/fairscale
PyTorch extensions for high performance and large scale training.
flashlight/flashlight
A C++ standalone library for machine learning
Kaixhin/spinning-up-basic
Basic versions of agents from Spinning Up in Deep RL written in PyTorch
TheAlgorithms/Python
All Algorithms implemented in Python
determined-ai/determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
vitling/acid-banger
The Endless Acid Banger
ContinualAI/avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
taskflow/taskflow
A General-purpose Task-parallel Programming System using Modern C++
google-research/robustness_metrics
cpp-best-practices/cppbestpractices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
google-deepmind/tree
tree is a library for working with nested data structures
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
szagoruyko/pytorchviz
A small package to create visualizations of PyTorch execution graphs