Machine Learning

Stanford CS336 provides course schedules, assignments, and materials for language modeling from scratch.

A curated collection gathers learning resources for generative AI, machine learning, LLMs, RAG, and related topics.

Jupyter Notebook combines live code, equations, explanatory text, visualizations, and interactive computing in a web platform.

SynapseML provides distributed machine learning algorithms for Spark through its Python library.

Collect, store, and analyze large volumes of data from applications, websites, and IoT devices with Azure Data Explorer, a managed cloud service.

Neural Newsletters helps users create and publish newsletters tailored to audience preferences.

nilearn provides Python tools for machine learning and neuroimaging analysis.

DocsGPT is a private AI platform for agents, assistants, and enterprise search, with document analysis and API connectivity.

doddle-model is an in-memory machine learning library for Scala, built on Breeze with a scikit-learn-like API using typeclasses.

PyTorch Lightning supports pretraining and fine tuning AI models across GPU setups.

pytorch tabular provides a unified framework for deep learning models on tabular data.

Wolfram Data Repository hosts structured datasets for computational use, covering topics from demographics to science and mathematics.

mlxtend adds helper modules for Python data analysis and machine learning libraries.

Accelerate AI training, power complex simulations, and render faster with NVIDIA H100 GPUs on Paperspace. Easy setup, cost-effective cloud compute.

Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.

mljar-supervised provides tabular data AutoML with feature engineering, hyperparameter tuning, explanations, and documentation.

Stackwise collects open-source AI applications and invites community contributions to its project.

The Geni project provides a Clojure dataframe library that runs on Apache Spark.

Python developers can use gensim for topic modeling and related natural language processing tasks.

Partially Derivative covers data topics through a podcast archive, with the site noting its last episode.

AstroML provides Python tools for machine learning and data mining in astronomy.

Azure for Students provides cloud services, developer tools, and credits for building apps and exploring AI.

This repository curates references and resources for machine learning operations.

The Borr Project provides free resources to help learners study college curricula.