Open-source alternatives to Awaken

Rust library for OpenAI

This project is a comprehensive technical course study guide and reference for learning the architectures and training methods of Transformers and large language models. It serves as a technical overview for understanding how neural networks process data and how to align model behavior with specific performance goals. The repository provides specialized guides on several key areas of model development. This includes detailed references for transformer architectures, implementation frameworks for retrieval-augmented generation and agentic workflows, and technical guides for model optimization

40ANTS-MCP is a framework for building Model Context Protocol servers in Common Lisp

برای آدمیزاد LLM آموزش / Teaching LLM in Persian

This project is a comprehensive, community-driven knowledge repository that serves as a centralized hub for data science resources. It provides a structured index of educational materials, software packages, and professional development tools designed to support both students and practitioners in navigating the data science landscape. The repository distinguishes itself through a hierarchical taxonomy that organizes a vast collection of external links into a human-readable, markdown-based document. By relying on distributed contributions, the project maintains an up-to-date snapshot of the fi

A Common Lisp client for the Chroma vector database

A Common Lisp embeddings library

Behavior Tree Starter Kit

Common Lisp implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Awesome TensorFlow.js - A curated list of dedicated resources to master TensorFlow.js

Build AI (or any) apps with scalable microservices & microfrontends.

This project is a serverless service that generates dynamic, themeable visual summaries of software development activity. It functions as an automated metadata visualizer, transforming raw platform logs and repository metrics into resolution-independent vector graphics that can be embedded directly into markdown environments. The service distinguishes itself by offering highly configurable, query-parameter-driven rendering that allows users to customize the visual presentation of their coding patterns, language proficiency, and repository details. It supports both real-time generation via ser

Supercharged experience for multiple models such as ChatGPT, DALL-E and Stable Diffusion.

Apache MXNet is a deep learning framework and distributed machine learning library designed for training and deploying neural networks across distributed systems, mobile devices, and hardware accelerators. It functions as a cross-platform runtime and a dynamic dataflow scheduler that optimizes neural network execution. The framework provides a multi-language API, enabling the development of machine learning models using Python, R, Julia, Scala, Go, and JavaScript. It supports high-performance model training and the scaling of workloads across multiple GPUs and machines. The system covers cap

Curated list: Resources for machine learning in Ruby

DocsGPT is a retrieval-augmented generation platform and private knowledge base used to build AI agents that perform grounded search and analysis. It functions as a multi-model AI orchestrator and enterprise agent builder, allowing for the integration of various local and cloud language models to customize reasoning and text generation. The project provides a visual environment for developing automated assistants using conditional logic and third-party API connectivity. It enables the creation of private AI agents capable of performing enterprise search and detailed document analysis using pr

A GPU (CUDA) based Artificial Neural Network library

A Common Lisp LLM completions library

Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

Crate for Embedings and Positional Encoding (Rust) (Q2:2025)

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

MLIR Toolkit in Elixir and Zig.

OpenLLM is a framework for deploying, managing, and scaling open-source large language models

A Common Lisp port of @karpathy microgpt.py — the most atomicimplementation of a GPT with a hand-written scalar autograd engine.