Ankur Deka

Actor-Residual-Critic. ARC - Actor Residual Critic for Adversarial Imitation Learning

Machine-Learning-Notebooks. Simple Experiments mainly on Machine Learning

Hiding-Leader-Identity. IROS 2021 - Hiding Leader’s Identity in Leader-Follower Navigation through MARL

PyTorch-with-ROS-Installation-Guide. Get Anaconda and ROS running together on Ubuntu 16.04

GPT-from-scratch. Train your own GPT from scratch

Emergent-Multiagent-Strategies. Emergence of complex strategies through multiagent competition

openpi. Python

aevascenes. AevaScenes Python SDK

LLMs-from-scratch. Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

github1s. One second to read GitHub code with VS Code.

lerobot. 🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

modular. The Modular Platform (includes MAX & Mojo)

grok-1. Grok open release

minbpe. Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

DingoQuadruped. Base code for the Dingo quadruped; modified from Stanford Pupper and Notspot repositories. Includes integration with ROS Noetic and a simulation of the Dingo

diffusers. 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

gpt-engineer. CLI platform to experiment with codegen. Precursor to: https://lovable.dev

random-network-distillation-pytorch. Random Network Distillation pytorch

0shot-object-insertion. Simulation and robot code for contact-rich household object insertion (ICRA 2023).

on-policy. This is the official implementation of Multi-Agent PPO (MAPPO).

sample-factory. High throughput synchronous and asynchronous reinforcement learning

dynamic-cloth-folding. Code for our paper: Learning Visual Feedback Control for Dynamic Cloth Folding (IROS 2022)

graphgym. A web renderer for Gymnasium

codon. A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

Dummy-Robot. 我的超迷你机械臂机器人项目。

Neuromorphic-Computing-Guide. Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

Cullinan. A Lidar based on Roborock LDS(Laser Distance Sensor) for STEM

ai-reference-models. Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs

ElectronBot. C

random-network-distillation. Code for the paper "Exploration by Random Network Distillation"

catalyst-rl-tutorial. Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.

rl. A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

rl-baselines-zoo. A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

ROS-Mobile-Android. Visualization and controlling application for Android

Complete-Deep-Learning.

Unet_Satellite. Python

Animal-Classification. Python

Airline-Customer-Satisfaction. SAS

RCT. R

Cyclist-Data-Analysis.

sushmitadas.github.io. CSS

Mind-Expanding-Books. :books: Find your next book to read!

MiDaS. Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

DPT. Dense Prediction Transformers

deepmind-research. This repository contains implementations and illustrative code to accompany DeepMind publications

ml-agents. The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

shapely. Manipulation and analysis of geometric objects

al-folio. A beautiful, simple, clean, and responsive Jekyll theme for academics

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

Collatz-Conjecture. Visualization of the Collatz Conjecture using Processing

webots_ros2. Webots ROS 2 packages

MARL-papers-with-code. Multi-Agent Reinforcement Learning (MARL) papers with code

ri-thesis-template. LaTeX template for a CMU Robotics Institute Thesis

kinova-ros. ROS packages for Jaco2 and Mico robotic arms

rainbow-is-all-you-need. Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

icecream. 🍦 Never use print() to debug again.

ott. Python

ModGNN. Python

pennylane. PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

ml-visuals. 🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

difftaichi. 10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

OpenBot. OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

Popular-RL-Algorithms. PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

robustness. A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

gym_ped_sim. A ros gazebo plugin for pedestrians （Raw depth social compliant navigation through GAIL) ICRA 2018

f-IRL. Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020

magenta. Magenta: Music and Art Generation with Machine Intelligence

tonic. Tonic RL library

lab2d. A customisable 2D platform for agent-based AI research

pytorch-maml. An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

pytorch-maml-rl. Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

hessian. hessian in pytorch

BC-regularized-GAIL. Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch

MADDPG. Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".

pysc2-agents. This is a simple implementation of DeepMind's PySC2 RL agents.

radial_rl. Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"

gym-cooking. 🏆 gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020 CoopAI Workshop Best Paper.

torch2trt. An easy to use PyTorch to TensorRT converter

MAML-Pytorch. Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Deep-Reinforcement-Learning-With-Python. Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

federated. A collection of Google research projects related to Federated Learning and Federated Analytics.

MuJoCo_RL_UR5. A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

audiobook. Python

WebPlotDigitizer. Computer vision assisted tool to extract numerical data from plot images.

Deep-Reinforcement-Learning-Hands-On-Second-Edition. Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

private_flocking. TeX

Procedural-painting. Procedural painting algorithms in Unity 3d with compute shaders based on genetic evolution algorithms

a-minimalist-guide. Walkthroughs for DSL, AirSim, the Vector Institute, and more

multiagent_mujoco. Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

overcoming-catastrophic. Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

NGD-SGD. A Pytorch Implementation of Natural Gradient Descent

reinforcement-learning. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

6dof-graspnet. Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.

pointnet2. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

PointNet2_Grasping_Data_Part. The dataset of our paper for ICRA 2020

vision-based-robotic-grasping. Related papers and codes for vision-based robotic grasping

REFIL. Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021

deep_rl. PyTorch implementation of deep reinforcement learning algorithms

visual-pushing-grasping. Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

ROMA. Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)

MAAC. Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

baselines. OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

maddpg-pytorch. PyTorch Implementation of MADDPG (Lowe et. al. 2017)

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).

shelltile. A tiling window extension for GNOME Shell

Deep-Reinforcement-Learning-Algorithms-with-PyTorch. PyTorch implementations of deep reinforcement learning algorithms and environments

spinningup. An educational resource to help anyone learn deep reinforcement learning.

smac. SMAC: The StarCraft Multi-Agent Challenge

rlpyt. Reinforcement Learning in PyTorch

gym. A toolkit for developing and comparing reinforcement learning algorithms.

pysc2. StarCraft II Learning Environment

pymarl. Python Multi-Agent Reinforcement Learning framework

stable-baselines3. PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

pytorch-normalizing-flows. Normalizing flows in PyTorch. Current intended use is education not production.

gym-cloth. Code for IROS 2020 paper: https://arxiv.org/abs/1910.04854

pytorch-segmentation. :art: Semantic segmentation models, datasets and losses implemented in PyTorch.

carvana-challenge. My repository for the Carvana Image Masking Challenge

MARL-Papers. Paper list of multi-agent reinforcement learning (MARL)

pytorchviz. A small package to create visualizations of PyTorch execution graphs