Build Graph Nets in Tensorflow
- graph-networks
- graphs
- deep-learning
- neural-networks
84,085 visible repositories in the index
601–624 of 3,091 · Most stars
Build Graph Nets in Tensorflow
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
TranslatedChinese characters to pinyin converter (pypinyin)
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Email OSINT & Password breach hunting tool, locally or using premium services. Supports chasing down related email
Denoising Diffusion Probabilistic Models
Easily document cables and wiring harnesses.
Superduper: End-to-end framework for building custom AI applications and agents.
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.
A library to manipulate font files from Python.
:cookie: A full-featured, hackable tiling window manager written and configured in Python (X11 + Wayland)
A supercharged AWS command line interface (CLI).
MCP server for market analysis in AI assistants: screeners, multi-timeframe technical analysis, backtests and sentiment for crypto, stocks, forex and futures. 39 tools. Self-host free, or use the hosted version, TradingMCP.
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.
The repository host gives no description.
Skill to give Claude Code (and any coding agent) the ability to generate beautiful and practical Excalidraw diagrams.
[ECCV2024] IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
Probabilistic time series modeling in Python
Agent-ready RPA suite with out-of-the-box automation tools. Built for individuals and enterprises.
PathPicker accepts a wide range of input -- output from git commands, grep results, searches -- pretty much anything. After parsing the input, PathPicker presents you with a nice UI to select which files you're interested in. After that you can open them in your favorite editor or execute arbitrary commands.
Open-Source Unified Vulnerability Management, DevSecOps & ASPM
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
A Next-Generation Training Engine Built for Ultra-Large MoE Models