NimaGard's Stars
facebookresearch/minihack
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
google-deepmind/open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
raisimTech/raisimLib
Visit www.raisim.com
stack-of-tasks/pinocchio
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
NVlabs/oscar
Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
abr/abr_control
Robotic arm control in Python
tum-pbs/pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.2)
benmoseley/FBPINNs
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
uoip/g2opy
Python binding of SLAM graph optimization framework g2o
RainerKuemmerle/g2o
g2o: A General Framework for Graph Optimization
hotsuyuki/Graph-Based-SLAM
A guide of Graph-based SLAM with C++ and Python sample code
google-research/tensor2robot
Distributed machine learning infrastructure for large-scale robotics research
NVIDIA/warp
A Python framework for high performance GPU simulation and graphics
isaac-sim/IsaacGymEnvs
Isaac Gym Reinforcement Learning Environments
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch