AI 开源项目榜。

Global Claude Code commands and workflows

liujing04/Retrieval-based-Voice-Conversion-WebUI reconstruction project

🏆 A ranked list of awesome machine learning Rust libraries.

A self driving toy car using end-to-end learning

The TypeScript framework for agents & workflows with react-like components. Lightning fast dev loop. Easy to learn. Easy to extend.

Unofficial Python SDK for OpenAI's ChatGPT

💡 Awesome RAG: A resource of Retrieval-Augmented Generation (RAG) for LLMs, focusing on the development of technology.

🔮 Demo application showing the integration of Guess.js with Next.js

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

vs-punk: ADT to MCP bridge - Vibe code in ABAP / AMDP

A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.

Lattice methods in TensorFlow

tracking papers, datasets, and models of "large language model (LLM) for time series"

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

An experiment to give an autonomous GPT agent access to a browser and have it accomplish tasks

A comprehensive observability solution for monitoring Claude Code usage, performance, and costs.

Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

The road to hack SysML and become an system expert

Provides end-to-end model development pipelines for LLMs and Multimodal models that can be launched on-prem or cloud-native.

Keep Whale-chan consistently vivid in every generation: High-consistency character design specification, visual asset library, and agent creation suite.

Dockerfiles for the various software layers defined in the ROCm software platform

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

Current state of supervised and unsupervised depth completion methods

Xcode 27 system prompts and internal documentation

Model Activity Visualiser

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"