Open-source alternatives to Fastmcpp

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

Rust library for OpenAI

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

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

Behavior Tree Starter Kit

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

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

A GPU (CUDA) based Artificial Neural Network library

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

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

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 Common Lisp client for the Chroma vector database

A Common Lisp LLM completions library

A Common Lisp embeddings library

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

AI agent runtime for Rust — type-safe state, multi-protocol serving, plugin extensibility.

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

Awesome-Pytorch-list

Unoffcial documentation for Lowy Institute's Asia Power Index API