Trending AI/ML Projects
Genome modeling and design across all domains of life
Main repository for Datadog Agent
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Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
MiroThinker is a deep research agent optimized for complex research and prediction tasks. Our latest models, MiroThinker-1.7 and MiroThinker-H1, achieve 74.0 and 88.2 on the BrowseComp, respectively.
The agent that grows with you
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A free + OSS logo generator powered by Flux on Together AI
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
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The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
TradingAgents: Multi-Agents LLM Financial Trading Framework
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
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。
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🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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NVIDIA Inference Xfer Library (NIXL)
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OpenSandbox is a general-purpose sandbox platform for AI applications, offering multi-language SDKs, unified sandbox APIs, and Docker/Kubernetes runtimes for scenarios like Coding Agents, GUI Agents, Agent Evaluation, AI Code Execution, and RL Training.
JavaScript in-page GUI agent. Control web interfaces with natural language.
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GOV.UK Frontend contains the code you need to start building a user interface for government platforms and services.
Remote MCP Server that securely connects Jira and Confluence with your LLM, IDE, or agent platform of choice.
An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skills and subagents, it handles different levels of tasks that could take minutes to hours.
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An open and reliable container runtime
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Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.
The toolkit to pack, ship, store, and deliver container content
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Entire is a new developer platform that hooks into your git workflow to capture AI agent sessions on every push, unifying your code with its context and reasoning.
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A free and open source instant messaging and VoIP platform built for friends, groups, and communities. Self-hosting and more activity in this repository is coming very soon! See the README.
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Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.
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Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
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Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.
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Give your agents the power of the Hugging Face ecosystem
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Toolkit for the AI for Industry Challenge
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A Claude Code plugin that shows what's happening - context usage, active tools, running agents, and todo progress
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Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.
OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.
Lightpanda: the headless browser designed for AI and automation
Generate any location from the real world in Minecraft with a high level of detail.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Painless E2E Automation for Mobile and Web
💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported.
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more. Features: Generate Text, MCP, Audio, Video, Images, Voice Cloning, Distributed, P2P and decentralized inference
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An agentic skills framework & software development methodology that works.
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Open Source Computer Vision Library
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PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
A machine learning compiler for GPUs, CPUs, and ML accelerators
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Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
The design language that makes your AI harness better at design.
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.
cuDF - GPU DataFrame Library
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Learn OpenCV : C++ and Python Examples
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Code for Machine Learning for Algorithmic Trading, 2nd edition.
Send files and folders anywhere in the world without storing in cloud - any size, any format, no accounts, no restrictions.
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🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Unified web UI for training and running open models like Qwen, DeepSeek, gpt-oss and Gemma locally.
Community maintained hardware plugin for vLLM on Ascend
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OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
AI i18n, Two lines of js realize automatic html translation. No need to change the page, no language configuration file, no API key, SEO friendly!
Latest AI Research Articles
Summary
Six months ago, my team was celebrating. We had shipped more features in Q3 than in the entire...
Core Contributions
- Six months ago, my team was celebrating.
- We had shipped more features in Q3 than in the entire....
Summary
Kaggle's community helps the world discover what actually works in AI, and today we're launching...
Core Contributions
- Kaggle's community helps the world discover what actually works in AI, and today we're launching....
Summary
You might already know Google AI Studio as a sandbox to play with the Deepmind models and tinker with...
Core Contributions
- You might already know Google AI Studio as a sandbox to play with the Deepmind models and tinker with....
Summary
I've been sitting on this comparison for a while, trying to decide if it was too obvious to write...
Core Contributions
- I've been sitting on this comparison for a while, trying to decide if it was too obvious to write....
Summary
People usually talk about intelligence as if it starts with language, tools, or raw brainpower. I do...
Core Contributions
- People usually talk about intelligence as if it starts with language, tools, or raw brainpower.
Summary
I've long been interested in "learning how to learn" and have long been annoyed by how I have grown...
Core Contributions
- I've long been interested in "learning how to learn" and have long been annoyed by how I have grown....
Summary
The results are in! We are thrilled to announce the winners of the Built with Google Gemini: Writing...
Core Contributions
- The results are in! We are thrilled to announce the winners of the Built with Google Gemini: Writing....
Summary
This is fiction. For now. I have an AI agent connected to my email and Slack. It can read...
Core Contributions
- This is fiction.
- I have an AI agent connected to my email and Slack.
Summary
Most AI agents don’t reliably follow directions, and that’s one of the biggest reasons they never...
Core Contributions
- Most AI agents don’t reliably follow directions, and that’s one of the biggest reasons they never....
Summary
Start building real apps for the modern web with the Antigravity coding agent along with Firebase...
Core Contributions
- Start building real apps for the modern web with the Antigravity coding agent along with Firebase....
Summary
Every developer hits this wall: add more than 8 MCP servers to Claude Desktop (or Cursor, or VSCode)...
Core Contributions
- Every developer hits this wall: add more than 8 MCP servers to Claude Desktop (or Cursor, or VSCode)....
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
This is a submission for the Notion MCP Challenge When I started building AI tools for my wife, it...
Core Contributions
- This is a submission for the Notion MCP Challenge When I started building AI tools for my wife, it....
Summary
This is a submission for the Notion MCP Challenge What I Built I built Notion Skills...
Core Contributions
- This is a submission for the Notion MCP Challenge What I Built I built Notion Skills....
Summary
A step-by-step guide to setting up CocoIndex with Docker, pgvector, and semantic search - covering all the gotchas the docs don't mention.
Core Contributions
- A step-by-step guide to setting up CocoIndex with Docker, pgvector, and semantic search - covering all the gotchas the docs don't mention..
Summary
The problem Every time your agent starts a conversation, it starts from zero. Sure, you...
Core Contributions
- The problem Every time your agent starts a conversation, it starts from zero.
- Sure, you....
Summary
How this started I didn't plan to build a security tool. I'm a CS student in Toronto. My...
Core Contributions
- How this started I didn't plan to build a security tool.
- I'm a CS student in Toronto.
Summary
This is a submission for the Notion MCP Challenge What I Built Every developer knows the...
Core Contributions
- This is a submission for the Notion MCP Challenge What I Built Every developer knows the....
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
My AI agent was blind. It could read text, write code, call APIs — but the moment I asked it to work...
Core Contributions
- My AI agent was blind.
- It could read text, write code, call APIs — but the moment I asked it to work....
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
How I took Google's ADK human-in-the-loop sample and made it more intuitive — a FastAPI service with a chat UI and real Telegram approval buttons, closer to how you'd actually use it.
Core Contributions
- How I took Google's ADK human-in-the-loop sample and made it more intuitive — a FastAPI service with a chat UI and real Telegram approval buttons, closer to how you'd actually use it..
Summary
When you’re prototyping locally with AI agents like Gemini CLI, Claude Code, or your own agent, their...
Core Contributions
- When you’re prototyping locally with AI agents like Gemini CLI, Claude Code, or your own agent, their....
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
For a long time, I have been seeing AI in coding as something that enables me, amplifies my...
Core Contributions
- For a long time, I have been seeing AI in coding as something that enables me, amplifies my....
Summary
DEV.to shipped Agent Sessions last week — a beta feature that lets you upload Claude Code session...
Core Contributions
- DEV.to shipped Agent Sessions last week — a beta feature that lets you upload Claude Code session....
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
Do we have to choose between becoming nostalgic or going all in embracing new technology? Some think...
Core Contributions
- Do we have to choose between becoming nostalgic or going all in embracing new technology? Some think....
Summary
This is a submission for the Notion MCP Challenge What I Built Notion of Progress is an...
Core Contributions
- This is a submission for the Notion MCP Challenge What I Built Notion of Progress is an....
Summary
Most agent memory defaults to vector search. Here's a three-tier alternative using plain files that actually works in production.
Core Contributions
- Most agent memory defaults to vector search.
- Here's a three-tier alternative using plain files that actually works in production..
Summary
I started using Claude Code a few months ago. Terminal-first, no nonsense, incredibly powerful. But...
Core Contributions
- I started using Claude Code a few months ago.
- Terminal-first, no nonsense, incredibly powerful.
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 computer science exam from 1978 and 2026 AI models
Core Contributions
- A computer science exam from 1978 and 2026 AI models .
Summary
I gave my AI agent persistent memory and identity. Four months later, it had a life I knew nothing about.
Core Contributions
- I gave my AI agent persistent memory and identity.
- Four months later, it had a life I knew nothing about..
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
TL;DR: MCP tool definitions can burn 55,000+ tokens before an agent processes a single user message....
Core Contributions
- TL;DR: MCP tool definitions can burn 55,000+ tokens before an agent processes a single user message.....
Summary
When everything's AI, nothing's AI
Core Contributions
- When everything's AI, nothing's AI.