Stars
Code for all the examples in DT book
Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
Playroom Framework: Reinforcement Learning Platform with Intrinsic Motivation
A real-time system that captures physically correct human motion, joint torques, and ground reaction forces with only 6 inertial measurement units
[ICML 2024] MagicPose(also known as MagicDance): Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
High-Performance Symbolic Regression in Python and Julia
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set …
SOROTOKI is an open-source MATLAB package that includes an array of tools for design, modeling, and control of soft robotic systems 🐙 🤖
Modeling, simulation and code-generation of multiphysical Port-Hamiltonian Systems in Python.
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Python Implementation of Reinforcement Learning: An Introduction
VerifAI is a software toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
A deep learning model for classifying audio frames into [SPEECH, KCHI, CHI, MAL, FEM] classes.
Code for "Reward Design For An Online Reinforcement Learning Algorithm For Supporting Oral Self-Care” Paper
Awesome resources for learning control theory
A Python library that helps data scientists to infer causation rather than observing correlation.
An open-source package of causal feature selection and causal (Bayesian network) structure learning (Matlab version)
🌱 Automated Hydroponics (a method of growing plants without soil) using Arduino Mega.