AI 开源项目榜。

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs

Official implementation of OpenWBT.

dabnn is an accelerated binary neural networks inference framework for mobile platform

[NeurIPS'23] Emergent Correspondence from Image Diffusion

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

Vui Nano — a small, context-aware text-to-speech model trained on real conversations. 219M active params (305M total), Apache 2.0, voice cloning, streaming, runs on CPU (dependency-free C build). Ships with a full real-time voice assistant: WebRTC, ASR, local LLM, OpenAI Realtime API compatible.

Large Context Attention

A sign language interpreter using live video feed from the camera.

SkyAGI: Emerging human-behavior simulation capability in LLM

南鸢写真提示词 Agent Skill

WTTE-RNN a framework for churn and time to event prediction

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

An all-in-one VLA engineering platform for embodied AI — from data to real-robot deployment.

A curated list of papers dedicated to neural text (semantic) matching.

[CVPR2026]🚀🚀🚀Official code for the paper "YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection." *(YOLO = You Only Look Once)* 🔥🔥🔥

a framework 🏗 for trading with tradingview webhooks!

A high-level toolbox for using complex valued neural networks in PyTorch

AI Prompt Optimization Platform is a professional prompt engineering tool designed to help users optimize AI model prompts, enhancing the effectiveness and accuracy of AI interactions. The platform integrates intelligent optimization algorithms, deep reasoning analysis, visualization debugging tools, and community sharing features, providing compre

GPT4Tools is an intelligent system that can automatically decide, control, and utilize different visual foundation models, allowing the user to interact with images during a conversation.

Official implementation of Any2Track.

AI-Video-Cropper is a Python-based tool that leverages the power of GPT-4 (OpenAI's language model) to automatically analyze videos, extract the most interesting sections, and crop them for improved viewing experience. This project combines the capabilities of GPT-4, FFmpeg, and OpenCV to automate the process of identifying highlights in videos

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

Neural conversational model in Torch

Python client library for Mistral AI platform

Get FAR MORE done with FAR FEWER tokens 🔥

Master Repo For PearAI

Unlock the Power of LLM: Explore These Datasets to Train Your Own ChatGPT!