normandipalo

normandipalo's Stars

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4663304.2k

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python9.5k661.5k1.7k

• google/trax

  Trax — Deep Learning with Clear Code and Speed

  Language:Python8.1k140232821

• Fanghua-Yu/SUPIR

  SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.

  Language:Python4.5k65144392

• facebookresearch/nevergrad

  A Python toolbox for performing gradient-free optimization

  Language:Python4k58267356

• AI4Finance-Foundation/ElegantRL

  Massively Parallel Deep Reinforcement Learning. 🔥

  Language:Python3.8k52263853

• google-deepmind/acme

  A library of reinforcement learning components and agents

  Language:Python3.6k83267437

• jettify/pytorch-optimizer

  torch-optimizer -- collection of optimizers for Pytorch

  Language:Python3.1k3365298

• google/brax

  Massively parallel rigidbody physics simulation on accelerator hardware.

  Language:Jupyter Notebook2.4k33361261

• lucidrains/byol-pytorch

  Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

  Language:Python1.8k2683248

• n2cholas/awesome-jax

  JAX - A curated list of resources https://github.com/google/jax

  1.6k518134

• clvrai/awesome-rl-envs

  1.1k31485

• TorchEnsemble-Community/Ensemble-Pytorch

  A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

  Language:Python1.1k126196

• google-research/seed_rl

  SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

  Language:Python7994675146

• google/objax

  Language:Python7712510476

• optimass/continual_learning_papers

  Relevant papers in Continual Learning

  Language:TeX72637782

• google-research/ravens

  Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

  Language:Python584162197

• MishaLaskin/curl

  CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

  Language:Python577112686

• RobotLocomotion/pytorch-dense-correspondence

  Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

  Language:Python56428113133

• keiohta/tf2rl

  TensorFlow2 Reinforcement Learning

  Language:Python46918120102

• robotlearn/pyrobolearn

  PyRoboLearn: a Python framework for Robot Learning

  Language:Python405154961

• davidbau/how-to-read-pytorch

  Quick, visual, principled introduction to pytorch code through five colab notebooks.

  Language:Jupyter Notebook40311065

• kenjyoung/MinAtar

  Language:Python29291558

• shreyashampali/kypt_transformer

  Language:Python984189

• KamyarGh/rl_swiss

  Language:Python662412

• vincent-thevenin/DreamerV2-Pytorch

  Pytorch implementation of DreamerV2: MASTERING ATARI WITH DISCRETE WORLD MODELS

  Language:Python504411

• StanfordVL/NTP-vat-release

  The PyBullet wrapper (Vat) for Neural Task Programming

  Language:Python341718

• eth-ait/tempclr

  [3DV 2022] A semi-supervised method for improving generalization for 3D hand reconstruction.

  Language:Python28811

• cychai1995/mcdons

  Repository for "Multi-step Pick-and-Place Tasks Using Object-centric Dense Correspondences" (IROS 2019)

  Language:Python7102

• pemami4911/IODINE.pytorch

  Unofficial PyTorch implementation of IODINE https://arxiv.org/abs/1903.00450

  Language:Python4201