Popular GitHub Repositories for Functional Requirements

? A refreshing functional take on deep learning, compatible with your favorite libraries

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

Fully functional Pokerbot that works on PartyPoker, PokerStars and GGPoker, scraping tables with Open-CV (adaptable via gui) or neural network and making decisions based on a genetic algorithm and montecarlo simulation for poker equity calculation. Binaries can be downloaded with this link:

fklearn: Functional Machine Learning

AutoGroq is a groundbreaking tool that revolutionizes the way users interact with Autogen? and other AI assistants. By dynamically generating tailored teams of AI agents based on your project requirements, AutoGroq eliminates the need for manual configuration and allows you to tackle any question, problem, or project with ease and efficiency.

A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.

A simple library for creating complex neural networks

? Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows.

DiffSharp: Differentiable Functional Programming

PyTorch and Tensorflow functional model definitions

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.

A community-driven knowledge base of practical patterns for Effect-TS.

AWS QnABot is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS and Amazon Alexa.

No-Frills Functional Programming Lib Augmenting Javascript/Node.js

Powerful and highly functional startpage integrated with chatGPT and hidden under the super minimalistic and animated design (static/hosted/github pages)

Resume_Builder_AIHawk is a powerful Python tool that allows you to automatically customize your resume based on a job URL, ensuring it perfectly aligns with the job requirements and skills. With an interactive command-line interface, this tool makes it easy to navigate through options and select from various pre-defined styles

A fully functional MCP server and CLI for YouTube

An ML-like functional programming language

GitHub repository for "Improving Video Generation for Multi-functional Applications"