Automated Machine Learning with scikit-learn
- automl
- scikit-learn
- automated-machine-learning
- hyperparameter-optimization
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Automated Machine Learning with scikit-learn
A self-hosted open source photo management service.
The Sphinx documentation generator
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
A tool that bootstraps your dotfiles ⚡️
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Ajenti Core and stock plugins
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Customisable coding font with alternates, ligatures and contextual positioning. Crazy crisp at 12px/9pt. http://larsenwork.com/monoid/
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Multi-Cloud Security Auditing Tool
cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.
Open Source Inventory Management System
An open source python library for automated feature engineering
Task scheduling library for Python
Distributed Asynchronous Hyperparameter Optimization in Python
Efficiently computes derivatives of NumPy code.
Automated Adversary Emulation Platform
Python library and shell utilities to monitor filesystem events.
Robyn is a Super Fast Async Python Web Framework with a Rust runtime.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Centralized network visibility and continuous asset discovery. Monitor devices, detect change, and stay aware across distributed networks.
The Open Source Feature Store for AI/ML
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments