Stars
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Unified framework for robot learning built on NVIDIA Isaac Sim
This repository provides a complete, end-to-end system for retrieving precise 3D models by interpreting both natural language queries and spatial context.
NVIDIA Isaac GR00T N1.6 - A Foundation Model for Generalist Robots.
An Open-Ended Embodied Agent with Large Language Models
Solutions to Sutton and Barto book exercises
A toolkit for developing and comparing reinforcement learning algorithms.
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.
[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Clean, scalable and easy to use ResNet implementation in Pytorch
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kern…
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding b…
Most popular metrics used to evaluate object detection algorithms.
This is the repository for the distill web framework
Vietnamese license plate recognition
Attention is all you need implementation
This repository is intended to host tools and demos for ActivityNet
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.
[LREC-COLING 2024 (Oral), Interspeech 2024 (Oral), NAACL 2025, ACL 2025, EMNLP 2025] A Series of Multilingual Multitask Medical Speech Processing
Plain python implementations of basic machine learning algorithms