Stars
[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.
🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transf…
Awesome multilingual OCR and Document Parsing toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools,…
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…
sinc-lab / anc2vec
Forked from aedera/anc2vecMethod for constructing embeddings of GO terms.
Combining image-to-image and class guided denoising diffusion probabilistic models.
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
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Predicting assays Using Morphological Analysis