A collection of 177 validated scientific skills for AI agents, covering biology, chemistry, medicine, and data analysis, plus 100+ scientific database references.
An open, structured graph of 1,616 primary-school micro-topics with prerequisite dependencies and curriculum standards alignment.
The AI-native JSON Gantt chart engine. Dependency-free interactive timelines with React, script-tag, CLI, topological DAG solver, and formal JSON schema.
Source repository for the Rust programming language, containing the compiler, standard library, and official documentation.
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
A high-throughput LLM inference and serving engine featuring PagedAttention, continuous batching, and an OpenAI-compatible API server.
OpenStock is an open-source alternative to expensive market platforms. Track real-time prices, set personalized alerts, and explore detailed company insights — built openly, for everyone, forever free.
The Go programming language: an open source, statically typed language and toolchain for building simple, reliable, and efficient software.
Zero Breach — local, read-only scanner that checks a computer for indicators of the AdFection / Candiru ad-delivered spyware campaign. No network, no admin, no dependencies.
A curated list of free system design learning materials and interview preparation problems and concepts.
ClearAI:以本体为纲的原生 DSH 插件 —— 经证据核验的研究长成可浏览的领域本体。 · ClearAI: an ontology-first DSH agent preset — evidence-checked research that grows into a domain ontology.
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Secure, fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.
A massive ancient Greek world built entirely in code with three.js. Zero assets, made with Claude Code (Opus 5.5)
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Trilhas de estudo de Ciência de Dados derivadas das aulas da Profa. Cibele Russo (ICMC/USP)
Node.js & Bun bindings for Zed’s GPUI. Build memory efficient native apps with React or Solid.js
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
OpenShell is a sandboxed runtime that enforces file, system call, and network policies on autonomous AI agents.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
一个脚本搞定 DSH / WorkBuddy / ZCode / Codex / Cursor / Claude 六客户端的提示词与人格替换:零依赖、双击即用、可自证、改前备份、一键还原。另附【免装 Python 的单文件 exe】;DSH 自动区分官方桌面版 / 社区桌面版。附 bandit/semgrep 扫描与 SHA256 校验。
Rebuild the object in a reference image as a code-only, procedural, quality-gated, animation-ready Three.js model. Token-efficient image-to-3D.
This is the official repo of FlashVSR+: Efficient Video Super-Resolution via Hybrid Attention and Reward-Yield Distribution Matching.
Accessibility-first browser & computer use for AI agents — one MCP server for every harness (Codex, Claude Code, OpenCode, Antigravity). Instruments the DOM/accessibility tree via CDP instead of screenshot loops: diffed snapshots, stable element refs, trusted input, typed errors. Zero dependencies
Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tauri + MCP + agent skills.
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
DeepGEMM: clean and efficient BLAS kernel library on GPU
DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
The open-source AI workbench for scientific research
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
The open-source AI research workbench for scientific research and agent workflows. Local-first, model-agnostic desktop app with extensible skills, MCP tools and connectors, Python/R execution and traceable artifacts for reproducible research on macOS, Windows and Linux.
FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
SoL-Pi: Scaling Auto-Research Loops for Efficient Agent Harnesses
Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention
Glary Utilities Pro 2026 complete standalone setup. Ready-to-run pre-activated desktop edition for efficient system optimization.
The fastest, cheapest, most efficient open-source agent harness. Run more than 500 agents on a $10 VPS.
Infrastructure for continually self‑improving agents
Offline IP-to-region lookup library and data management framework supporting IPv4 and IPv6 with xdb query clients.
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译,支持 Google/DeepL/Ollama/OpenAI 等服务,提供 CLI/GUI/MCP/Docker/Zotero
FlashMLA: Efficient Multi-head Latent Attention Kernels
A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Free, open source crypto trading bot
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
Symbolic Learning in Python and Julia
Papers from the computer science community to read and discuss.
A 12-week, 26-lesson beginner curriculum on classic machine learning using Scikit-learn, with quizzes and projects in Python and R.
uBlock Origin - An efficient blocker for Chromium and Firefox. Fast and lean.
Streamlit — A faster way to build and share data apps.
MaiSaka, an LLM-based intelligent agent, is a digital lifeform devoted to understanding you and interacting in the style of a real human. She does not pursue perfection, nor does she seek efficiency; instead, she values warmth, authenticity, and genuine connection.
江山时序 · 中国历史交互地图时间轴 (403 BCE – Present) | Interactive Historical Atlas of China across 18 dynasties, 164 territory snapshots, ancient-to-modern place genealogy & classical poetry routes
Open-source system where LLMs autonomously generate research ideas, run experiments, and write full scientific papers.
Claude usage limits in a tiny Windows widget + tray icon — with pixel Clawd who reacts to your Claude Code sessions, looks after your PC and chats with you, from the widget or your phone. PowerShell, no dependencies.
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
PaperBanana: Automating Academic Illustration For AI Scientists
[NeurIPS 2026] DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models