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

XLeRobot: Practical Dual-Arm Mobile Home Robot for $660

[ICLR 2025] Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes

This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

Google MediaPipe Javascript Demos (including live demos)

Self-Supervised Speech Pre-training and Representation Learning Toolkit

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

A computer based NVR (Network Video Recorder) with AI capabilities

NVR with realtime local object detection for IP cameras

Fast robust peg-in-hole insertion with continuous visual servoing (CORL 2020)

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

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

CnOCR: Awesome Chinese/English OCR Python toolkits based on PyTorch. It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. 【基于 PyTor…

Method for constructing embeddings of GO terms.

Combining image-to-image and class guided denoising diffusion probabilistic models.

Gene Set Enrichment Analysis in Python

A web application for visualizing and exploring the consensus across pathway enrichment results

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Images and other data from the JUMP Cell Painting Consortium

Fast, Simple and Easy to use SOTA Self-Supervised Image Classification Models in PyTorch