EurekaClaw
The official repo of EurekaClaw
HYSEN LABS DIRECTORY
Language tag · curated repositories and deep analysis.
The official repo of EurekaClaw
A-share short-term review dashboard covering limit-up pools, consecutive-limit ladders, dragon-tiger lists and sector capital flow in one screen. Derived sentiment metrics (profit effect, promotion rate, ladder gaps, sentiment cycle) are computed locally, not by AI; AI only turns the data into readable commentary. Runs fully locally, works with Claude/Codex subscriptions without an API key.
Multi-object trackers in Python
Curso de SDD (Spec-Driven Development) desde cero
Evidence-first local memory for AI agents with temporal versions, admission policies, citations, explainable recall, MCP, and audit tooling.
Packj stops :zap: Solarwinds-, ESLint-, and PyTorch-like attacks by flagging malicious/vulnerable open-source dependencies ("weak links") in your software supply-chain
On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Accurate, large-scale, and extensible simulator for LLM inference Systems
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
This repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and "MMEB-V3" [COLM 2026]
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
AI-powered travel hacking and search with cash, points, miles, and award flights. Drop-in skills and MCP servers for Claude, Codex, and OpenCode.
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.
cmd2 - quickly build feature-rich and user-friendly interactive command line applications in Python
Training-free Spectrum acceleration for ComfyUI’s native MiniMax H3 audio-video model. Uses Chebyshev ridge feature forecasting to skip selected H3 transformer evaluations, with adaptive scheduling, sampler-aware support for Euler, ER-SDE, RES, SEEDS and SA-Solver, CPU/VRAM history storage, and fail-closed native fallbacks.
Multiple modes built on dsh web for authorized red-team security research, covering penetration testing, red-team assessment and code auditing. Not for illegal use. Open for customization so each module can carry its own logic.
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
🥰 Building AI-based conversational avatars lightning fast ⚡️💬