machine-learning

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

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Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Tensor library for machine learning

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

Free MLOps course from DataTalks.Club

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

Your new Mentor for Data Science E-Learning.

Image augmentation for machine learning experiments.

NLTK Source

A list of all named GANs!

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

A hyperparameter optimization framework

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

A toolkit for making real world machine learning and data analysis applications in C++

A very simple framework for state-of-the-art Natural Language Processing (NLP)

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

A curated list of references for MLOps