shivanimall

shivanimall's Stars

• awesome-NeRF/awesome-NeRF

  A curated list of awesome neural radiance fields papers

  Language:TeX6.5k597

• jbhuang0604/awesome-computer-vision

  A curated list of awesome computer vision resources

  21.2k4.2k

• vsitzmann/awesome-implicit-representations

  A curated list of resources on implicit neural representations.

  2.5k143

• vsitzmann/phd-master-application-docs

  A collection of the application documents I used to apply to universities in the US.

  45931

• google-deepmind/mujoco

  Multi-Joint dynamics with Contact. A general purpose physics simulator.

  Language:Jupyter Notebook8.4k855

• schmitzmelissa/unity-ml-penguins

  A Unity project utilizing ml-agents to control the behavior of animated penguins.

  Language:C#6

• imbue-ai/jupyter_ascending

  Ascend your Jupyter Notebook usage

  Language:Python43726

• imbue-ai/slot_attention

  Language:Python9317

• vitchyr/viskit

  rllab's viskit with some added features

  Language:Python7335

• google-deepmind/dm_control

  Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

  Language:Python3.9k680

• denisyarats/drq

  DrQ: Data regularized Q

  Language:Jupyter Notebook40953

• rll/rllab

  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

  Language:Python2.9k801

• takuseno/d3rlpy

  An offline deep reinforcement learning library

  Language:Python1.4k243

• ARISE-Initiative/robosuite-benchmark

  Benchmarking Repository for robosuite + SAC

  Language:Jupyter Notebook5616

• rail-berkeley/rlkit

  Collection of reinforcement learning algorithms

  Language:Python2.5k555

• BarisYazici/deep-rl-grasping

  Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets

  Language:Python20646

• HumanCompatibleAI/eirli

  An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21

  Language:Python364

• StanfordVL/iGibson

  A Simulation Environment to train Robots in Large Realistic Interactive Scenes

  Language:Python677160

• neuroailab/PSGNets

  Neural Networks that convert input movies into Physical Scene Graphs (PSGs)

  Language:Python625

• KovenYu/uORF

  Unsupervised Discovery of Object Radiance Fields

  Language:Python17229

• ajinkya98/TensorBoard_PyTorch

  Language:Python1711

• zhenjia-xu/DensePhysNet-Simulation

  Language:Python286

• colors-lab/reading-list

  6

• ARISE-Initiative/robomimic

  robomimic: A Modular Framework for Robot Learning from Demonstration

  Language:Python706209

• mikedh/trimesh

  Python library for loading and using triangular meshes.

  Language:Python3.1k589

• manzilzaheer/DeepSets

  Language:Jupyter Notebook28461

• yassersouri/pytorch-deep-sets

  PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)

  Language:Python6813

• ikostrikov/pytorch-a2c-ppo-acktr-gail

  PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

  Language:Python3.7k829

• mahyaret/kuka_rl

  Reinforcement Learning Experiments using PyBullet

  Language:Jupyter Notebook11821

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k2.5k