In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.
GitHub repository with 12 stars and 2 forks.
Language: Jupyter Notebook
Topics: clustering, exploratorydataanalysis, k-means-clustering, machine-learning, matplotlib, pandas, python, seaborn, sklearn
2026-06-05: 12 stars and 2 forks.
A high performance implementation of HDBSCAN clustering.
GitHub repository with 3,112 stars and 535 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: machine-learning, machine-learning-algorithms, clustering, clustering-algorithm, cluster-analysis, clustering-evaluation
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
GitHub repository with 9,113 stars and 584 forks.
Trending score: 2.37; stars gained: +326; forks gained: +20.
Language: Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,980 stars and 4,249 forks.
Trending score: 1.87; stars gained: +8; forks gained: +6.
Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 5,608 stars and 1,014 forks.
Trending score: 1.87; stars gained: +93; forks gained: +13.
Language: Jupyter Notebook
GitHub repository with 2,681 stars and 331 forks.
Trending score: 1.82; stars gained: +48; forks gained: +12.
Language: Jupyter Notebook
Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
GitHub repository with 128 stars and 45 forks.
Trending score: 1.70; stars gained: +32; forks gained: +14.
Language: Jupyter Notebook
Examples and guides for using the OpenAI API
GitHub repository with 73,986 stars and 12,524 forks.
Trending score: 1.57; stars gained: +24; forks gained: +12.
Language: Jupyter Notebook
Topics: chatgpt, gpt-4, openai, openai-api
MTEB: Massive Text Embedding Benchmark
GitHub repository with 3,289 stars and 618 forks.
Trending score: 0.84; stars gained: +4; forks gained: +1.
Language: Python
Topics: benchmark, bitext-mining, clustering, information-retrieval, low-resource-nlp, mteb
Performance-portable geometric search library
GitHub repository with 231 stars and 46 forks.
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Language: C++
Topics: c-plus-plus, cpp, bounding-volume-hierarchy, kokkos, gpu, knn-search
Hazelcast IMDG C++ Client
GitHub repository with 90 stars and 54 forks.
Trending score: 0.17; stars gained: +0; forks gained: +0.
Language: C++
Topics: hazelcast, in-memory, datagrid, big-data, clustering, scalability
Data for the MTEB leaderboard
GitHub repository with 58 stars and 159 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: benchmark, benchmarkresults, clustering, information-retrieval, retrieval, semantic-search
Detect duplicate GitHub issues, areas of concern and more across related repositories.
GitHub repository with 135 stars and 8 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: TypeScript
Topics: ai, clustering, github, machine-learning
A high performance implementation of HDBSCAN clustering.
GitHub repository with 3,112 stars and 535 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: machine-learning, machine-learning-algorithms, clustering, clustering-algorithm, cluster-analysis, clustering-evaluation