Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.
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Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Library for calculating great circle distance.
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
Library for hyperparameter optimization and black box optimization benchmarks.
General Machine Learning library using Numenta’s Cortical Learning Algorithm.
Showcase streaming text generation using the @huggingface/inference JS lib.
Rails-like inflection library for Clojure and ClojureScript.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
A python library for doing approximate and phonetic matching of strings.
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Build better AI systems with evals, RAG, agents, synthetic data, fine-tuning, and prompt optimization. Free app + open-source library.
A library of statistical distribution sampling and transducing functions.
Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.
Lightweight library to build and train neural networks in Theano.
A generic approach that allows to mimic most factorization models by feature engineering.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Algorithms for learning and inference with discrete probabilistic models.
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