Machine Learning

Awesome TensorFlow lists experiments, libraries, and projects related to TensorFlow.

Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.

A curated list of machine learning frameworks, libraries, and software maintained in a GitHub repository.

TensorFlow Model Optimization provides Keras and TensorFlow tools for model quantization and pruning.

Python developers can use Streamlit to build and share data applications.

Paperless-ngx scans, indexes, and archives documents in a community-supported document management system.

PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

Awesome AI Books curates books about artificial intelligence, machine learning, deep learning, and transformers.

Follow a 100-day sequence of machine-learning coding exercises in this repository.

This repository collects machine learning resources and tools for the Ruby programming language.

A curated list of Gеnerative AI companies, sorted by focus area and total fundraised amount.

Developer Roadmap provides interactive roadmaps, guides, articles, and educational content for developers.

This Common Lisp repository collects algorithms for online linear classification.

Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.

19 Questions assigns attributes to objects using machine learning and Bayesian inference, according to its project description.

Awesome RAG Production curates tools, frameworks, and practices for building retrieval-augmented generation systems.

GeeksforGeeks provides programming tutorials, courses, interview preparation, and data structure practice.

Apache Airflow lets users author, schedule, and monitor workflows programmatically.

ML-From-Scratch shares accessible NumPy implementations of machine learning models, from linear regression to deep learning.

ASReview uses active learning techniques to support systematic literature review workflows.

A computer vision learning platform with interactive online code, an ebook, source code, and a reader community.

oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.

A curated repository helps readers discover machine learning and AI courses published on YouTube.

PyTorch Lightning helps pretrain and fine-tune AI models across one or many GPUs with minimal code changes.