Popular GitHub Repositories for Constrained Clustering

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.

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.

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

Instant, controllable, local pre-trained AI models in Rust

A Julia machine learning framework

OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constrained knowledge modeling, 2) facts and logic fused representation, 3) natively support KAG...

Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain

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

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values