Trending AI/ML Projects
🚀 AI 全自动短视频引擎 | AI Fully Automated Short Video Engine
Click to view documentation
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported)
Unrestricted, open-source alternative to AI video platforms — Free, unrestricted AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
Click to view documentation
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
Click to view documentation
Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Click to view documentation
"AI-Trader: 100% Fully-Automated Agent-Native Trading"
Coding agent for DeepSeek models that runs in your terminal
The all-in-one, open-source backend platform for agentic coding. InsForge gives your coding agent database, auth, storage, compute, hosting, and AI gateway to ship full-stack apps end-to-end.
Click to view documentation
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
CUDA Templates and Python DSLs for High-Performance Linear Algebra
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
30 Agents Every AI Engineer Must Build, published by Packt
Click to view documentation
A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for personal and enterprise model management. 🍥
Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click
Click to view documentation
TradingAgents: Multi-Agents LLM Financial Trading Framework
Click to view documentation
Build your own AI SRE agents. The open source toolkit for the AI era.
Click to view documentation
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Click to view documentation
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
Click to view documentation
Sub2API-CRS2 一站式开源中转服务,让 Claude、Openai 、Gemini、Antigravity订阅统一接入,支持拼车共享,更高效分摊成本,原生工具无缝使用。
The Block Editor project for WordPress and beyond. Plugin is available from the official repository.
Click to view documentation
Production-grade engineering skills for AI coding agents.
Click to view documentation
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
World's most advanced database DevSecOps solution for Developer, Security, DBA and Platform Engineering teams. The GitHub/GitLab for database DevSecOps.
Pioneering Automated GUI Interaction with Native Agents
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Feishu/Lark, DingTalk, Slack, Telegram, Discord, LINE, WeChat Work). Chat with your AI dev assistant from anywhere — no public IP required for most platforms.
Agentic AI Infrastructure for magnifying HUMAN capabilities.
Click to view documentation
Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/Gemini via 40+ providers. Auto-fallback, RTK -40% tokens, never hit limits.
Reference PyTorch implementation and models for DINOv3
A library for efficient similarity search and clustering of dense vectors.
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
Click to view documentation
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
An open-source AI agent that brings the power of Gemini directly into your terminal.
Click to view documentation
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Click to view documentation
AI generates natively editable PPTX from any document — real PowerPoint shapes with native animations, not images · by Hugo He
Click to view documentation
Hyprland is an independent, highly customizable, dynamic tiling Wayland compositor that doesn't sacrifice on its looks.
Free, local, open-source 24/7 Cowork app for OpenClaw, Hermes Agent, Claude Code, Codex, OpenCode, Gemini CLI and 20+ more CLI | Customize your assistants | Star if you like it!
Click to view documentation
Stealth headless browser for AI agents — bypass Cloudflare, bot detection, and anti-scraping. Drop-in Puppeteer/Playwright replacement.
Click to view documentation
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
Click to view documentation
Simulates Gemini CLI, Antigravity, Codex, Grok, and Kiro client requests, compatible with the OpenAI API. It supports thousands of Gemini model requests per day and offers free use of the built-in Claude model in Kiro. Easily connect to any client via the API, making AI development more efficient!
Click to view documentation
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
Click to view documentation
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
Skills for Real Engineers. Straight from my .claude directory.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🪄 Create rich visualizations with AI
Click to view documentation
21 Lessons, Get Started Building with Generative AI
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Your agent writes bad React. This catches it
The open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills.
Click to view documentation
Examples and guides for using the OpenAI API
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
Click to view documentation
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
Click to view documentation
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
#1 Persistent memory for AI coding agents based on real-world benchmarks
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
LLM API 管理 & 分发系统,支持 OpenAI、Azure、Anthropic Claude、Google Gemini、DeepSeek、字节豆包、ChatGLM、文心一言、讯飞星火、通义千问、360 智脑、腾讯混元等主流模型,统一 API 适配,可用于 key 管理与二次分发。单可执行文件,提供 Docker 镜像,一键部署,开箱即用。LLM API management & key redistribution system, unifying multiple providers under a single API. Single binary, Docker-ready, with an English UI.
Click to view documentation
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Click to view documentation
Your Personal AI super intelligence. Private, Simple and extremely powerful.
DFlash: Block Diffusion for Flash Speculative Decoding
Latest AI Research Articles
Summary
Summary
Code Example
```python
# Example implementation
import torch
import numpy as np
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(10, 1)
def forward(self, x):
return self.linear(x)
model = Model()
inputs = torch.randn(1, 10)
outputs = model(inputs)
```
Summary
<a href="https://github.com/TanStack/router/issues/7383" rel="nofollow">https://github.com/TanStack/router/issues/7383</a>
Core Contributions
- <a href="https://github.com/TanStack/router/issues/7383" rel="nofollow">https://github.com/TanStack/router/issues/7383</a>.
Code Example
```python
# Example implementation
import torch
import numpy as np
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(10, 1)
def forward(self, x):
return self.linear(x)
model = Model()
inputs = torch.randn(1, 10)
outputs = model(inputs)
```