PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
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PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Persistent memory for Claude Code, Codex and 6 other AI agents, stored as plain markdown in your Obsidian vault. New: Crew, one shared logbook so Claude Code, Codex, Cursor and Grok Bot know what each other did. 48 commands: semantic search, self-rewriting notes, key-less research, scheduled agents.
Official git repository for Biopython (originally converted from CVS)
A PyTorch Library for Accelerating 3D Deep Learning Research
A Python implementation of LightFM, a hybrid recommendation algorithm.
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Simple, powerful, and fast logging for Python.
A community-driven, open-source project to share detection logic, adversary tradecraft and resources to make detection development more efficient.
TranslatedRUN · 润 (Run, "to slip away; to emigrate"): A handbook for overseas relocation for Chinese passport holders. 110 immigration routes across 36 European countries + 13 major immigration regions: digital nomad visas, EU Blue Card, skilled migration, study-to-work, entrepreneurship and self-employment, investment residency, each with official sources, continuously updated.
Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. Hosted API + MCP: hyperresearch.ai
A light-weight, flexible, and expressive statistical data testing library
The open-source context layer for AI agents. PipesHub turns your company's knowledge (Slack, Drive, Jira, GitHub, Microsoft 365 and 50+ connectors) into a permission-aware workspace that agents can search, grep, navigate and cite. MCP, SDKs and built-in agents. Self-hosted.
Catch API bugs before your users do
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
A self-contained cryptographic library for Python
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
Token-scale scientific discovery engine — autonomous hypothesis generation, experiment execution, and knowledge graph synthesis
UFONet - Denial of Service Toolkit
Automatic architecture search and hyperparameter optimization for PyTorch
Building a Neural Network-Native Engine (3N). Python authoring, C++ runtime, Vulkan/WebGPU. Windows, Linux, Android and Web.
ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch