A fast Evolution Strategy implementation in Python.
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A Python package to assess and improve fairness of machine learning models.
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.
Cloud-Native LLM Routing Engine. Improve LLM app resilience and speed.
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].
Analyzes structured data and helps produce queries, insights or visualizations.
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
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.
Modern columnar data format for ML implemented in Rust.
Neural network inference from the command line, implemented in CHICKEN Scheme.
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
Find out how hot you are and improve your looks with LooksMax AI.
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.
Magic is an AI company that is working toward building safe AGI to accelerate humanity’s progress on the world’s most important problems.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
An open source implementation of methods for multi-label classification and evaluation (extension to Weka).