Popular GitHub Repositories for Address Clustering

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

Postgres with GPUs for ML/AI apps.

Statistical Machine Intelligence & Learning Engine

Code for Tensorflow Machine Learning Cookbook

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

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)

An extension of Open3D to address 3D Machine Learning tasks

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

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

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

A Julia machine learning framework

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

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps