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Scalable toolkit for efficient model reinforcement
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Refine high-quality datasets and visual AI models
VPoser: Variational Human Pose Prior
List of Computer Science courses with video lectures.
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
Awesome machine learning for combinatorial optimization papers.
Graph Neural Network Library for PyTorch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
This repo contains CUDA-Q Academic materials, including self-paced Jupyter notebook modules for building and optimizing hybrid quantum-classical algorithms using CUDA-Q.
A collection of quantum information science problems formulated as reinforcement learning environments
[CIBM'24] Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
An open source implementation of CLIP.
Time series forecasting with PyTorch
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
A python interface for training Reinforcement Learning bots to battle on pokemon showdown
Collection of awesome test-time (domain/batch/instance) adaptation methods
Open-source implementation of AlphaEvolve
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles et al., 2022).
Awesome Incremental Learning