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Approximate nearest neighbours implementation.

PyTorch Implementation of No Token Left Behind: Explainability-Aided Image Classification and Generation.

) - Elixir-based implementation built to be performant and highly distributed.

Open-source project that provides AI-assisted learning, courses, tutorials, or study support.

Bloom is a high-performance hybrid server for the Nostr ecosystem. It functions as both a Blossom Protocol implementation for media storage and a Nostr Relay for event distribution

) - Nostr relay implementation by Stacker News.

Implementation of Random Forest in Common Lisp.

Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.

Torch CUDA Neural Network Implementation.

Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.

A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".

) - reference implementation of a DVM (Data Vending Machine) backend

DVMCP is a bridge implementation that connects Model Context Protocol (MCP) servers to Nostr's Data Vending Machine ecosystem

A fast Evolution Strategy implementation in Python.

A Blurhash implementation in pure Go (Decode/Encode)

Dev tool that writes scalable apps from scratch while the developer oversees the implementation.

Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

Implementation of the hdbscan algorithm in Python - used for clustering.

Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].

JavaScript implementation of the k nearest neighbors algorithm for supervised learning.

Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.

Simple, concise implementations of machine learning techniques and utilities in Clojure.

A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.