AI Observability & Evaluation

Performance-portable geometric search library

Machine Learning in R

cuVS - a library for vector search and clustering on the GPU

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

[ICML 2024] Let Go of Your Labels with Unsupervised Transfer

MTEB: Massive Text Embedding Benchmark

Statistical Machine Intelligence & Learning Engine

ToyML: Machine Learning from Scratch

Based on the Udemy Course "Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]"

Bayesian Functional Mixed Membership Models

Oracle Coherence Community Edition

Official implementation of TACCO (Task-guided Co-clustering).

Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!

Functional Data Analysis Python package

Self-Supervised Noise Embeddings (Self-SNE)

In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.

OSMoGrid is a tool to generate life like electrical grid models based on publicly available data, mainly OpenStreetMap. The tool puts a special focus on low voltage grids.

Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Quesne J.*, Tsirigos A.*, and Yuan K.* Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides. 2024'

Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.