The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
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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).
Beer glass classifier created with Synaptic.
Fundamentals of machine learning in python.
A curated list of Large Language Model.
Run LLM backends, APIs, frontends, and services with one command.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Framework for distributed hyperparameter optimization.
Making large AI models cheaper, faster and more accessible.
Library for hyperparameter optimization and black box optimization benchmarks.
General Machine Learning library using Numenta’s Cortical Learning Algorithm.
"building applications with LLMs through composability".
A framework for elegantly configuring complex applications.
Platform for deploying your Machine Learning to production.
A very simple wrapper for convenient hyperparameter optimization.
General Automated Machine Learning Framework.
Distributed Asynchronous Hyperparameter Optimization in Python.
Toolset for black-box hyperparameter optimisation.
An open-source visual programming environment for battle-testing prompts to LLMs.
A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
Julia-language backend combined with the Jupyter interactive environment.
Rails-like inflection library for Clojure and ClojureScript.
Framework to connect a flow of ML models by applying graph theory.