Search results

Place to meet for humans, agents and NPCs with MCP (Model Context Protocol) client/server integration.

A Whisper CLI client compatible with the original OpenAI client, using CTranslate2 for faster inference. opensource.

Open-source implementation of Google Vizier for hyper parameters tuning.

Approximate nearest neighbours implementation.

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

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

Implementation of Random Forest in Common Lisp.

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

This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING].

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".

A fast Evolution Strategy implementation in Python.

Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL's mex functions.

A concrete implementation of durable execution, retries, and human approval for an agent workflow.

Package mat provides implementations of float64 and complex128 matrix structures and linear algebra operations on them.

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.