Popular GitHub Repositories for Clustering Benchmarks

An open-source, low-code machine learning library in Python

Postgres with GPUs for ML/AI apps.

Code for Tensorflow Machine Learning Cookbook

Statistical Machine Intelligence & Learning Engine

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

The machine learning toolkit for time series analysis in Python

Text preprocessing, representation and visualization from zero to hero.

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

Datasets, tools, and benchmarks for representation learning of code.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

A high-level machine learning and deep learning library for the PHP language.

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

A Julia machine learning framework

Interact, analyze and structure massive text, image, embedding, audio and video datasets

Reference implementations of MLPerf? training benchmarks