Popular GitHub Repositories for Topic Clustering

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.

Machine learning, in numpy

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

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

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

Top2Vec learns jointly embedded topic, document and word vectors.

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.

Resources on the topic of digital morphogenesis (creating form with code). Includes links to major articles, code repos, creative projects, books, software, and more.

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

(Supports DeepSeek R1) An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.