Fast State-of-the-Art Static Embeddings
An open-source Python framework for hybrid quantum-classical machine learning.
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
Local video editor for coding agents: 42 FFmpeg tools with a machine-readable contract and an MCP server, for Claude Code, Cursor and Codex. Cut, captions, reframe, loudness, platform exports. No cloud, no API keys.
A package for the sparse identification of nonlinear dynamical systems from data
高清仪表盘图标(1024x1024 分辨率)
Open-source AI pentester that proves every finding. Machine oracles re-run each exploit; verified bugs ship a proof capsule you can replay yourself.
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Row-Bot - Personal AI Sovereignty. A local-first AI assistant with integrated tools, a personal knowledge graph, voice, vision, shell, browser automation, scheduled tasks, health tracking, and messaging channels. Run locally via Ollama or add opt-in cloud models. Your data stays on your machine.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Computations and statistics on manifolds with geometric structures.
A toolkit for time series machine learning and deep learning
Automated Time Series Forecasting
TabICLv2: An open tabular foundation model
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
Ink/Stitch: an Inkscape extension for machine embroidery design
Scalable machine 🤖 learning for time series forecasting.
HackPilot Enterprise is a production-ready, cloud-native AI-powered penetration testing platform designed for enterprise security teams. It combines advanced AI, machine learning, microservices architecture, and comprehensive security frameworks to deliver professional-grade cybersecurity assessments.
The simplest way to serve AI/ML models in production
Hera makes Python code easy to orchestrate on Argo Workflows through native Python integrations. It lets you construct and submit your Workflows entirely in Python. ⭐️ Remember to star!
workshop materials to build intelligent solutions on Open AI
High-performance Vision library in Python. Scale your research, not boilerplate.
Resources about time series forecasting and deep learning.
The official Python language binding for the Basler pylon C++ APIs
The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.
A toolkit for building AI-automated trading strategies on Kalshi prediction markets.
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
54 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more.
SDK libraries for Modal
向顶会优秀论文学科研|Oral Paper Skill — 从 883 篇 Oral 论文摘要中“蒸馏”共通做法,用于论文对照改进与学习复盘 · Skill + prompt pack (CN/EN). Learn from 883 Oral paper abstracts to improve your research and writing.
Spot trading bot - RSI + EMA signals, backtest, paper and live trading via CCXT. Built on Investing Algorithm Framework.
🧪 Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
A mod loader for Elektron firmware. You pick mods and supply the stock OS file Elektron publishes for your device. elekloader builds a custom OS file on your own machine, and you flash it the way you flash any OS update.
BarunLM-35M: a parameter-efficient 35M base language model trained on 5.7B tokens
Real-time Windows system-audio translation captions for Chinese, Japanese, English, and Korean, with optional LLM revision.
A mini developer hub for your network access, credentials, machines, AI, storage, and remote workflow.
Open-source quantitative finance models in Python: option pricing and Greeks, volatility surfaces, deep hedging, portfolio construction and Monte Carlo. Every model runs on free data, with the full write-up on davidariasfinance.com
💫 Industrial-strength Natural Language Processing (NLP) in Python
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
100-Days-Of-ML-Code中文版
Best Practices on Recommendation Systems
Open standard for machine learning interoperability
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
A hyperparameter optimization framework
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Convert Machine Learning Code Between Frameworks
Open Machine Learning Compiler Framework
Low-code framework for building custom LLMs, neural networks, and other AI models
🐍 Geometric Computer Vision Library for Spatial AI
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Minimal and clean examples of machine learning algorithms implementations
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Build, Manage and Deploy AI/ML Systems
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
End-to-End Speech Processing Toolkit
TensorFlow-based neural network library
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
ModelScope: bring the notion of Model-as-a-Service to life.
Deep universal probabilistic programming with Python and PyTorch