Artificial Intelligence
Showing 31 of 139 projects
OCaml bindings for PyTorch, providing NumPy-like tensor computations with GPU acceleration and automatic differentiation.
Common Lisp implementation of classic AI algorithms from the 'Artificial Intelligence: A Modern Approach' textbook.
A dataset of millions of news articles labeled by credibility type for training fake news detection algorithms.
A purely functional artificial neural network library for Haskell, enabling rapid prototyping through higher-order function composition.
An easy-to-use C# deep learning library with support for multiple backends including TensorFlow, PyTorch, and CUDA/OpenCL.
A Python library for interpretable text classification using the SS3 model, with built-in visualization tools for explainable AI.
A curated collection of research papers tracking the frontier of AI-based protein design methods and applications.
A curated collection of 400+ AI startup market maps from top VCs, analysts, and practitioners, tracking industry trends from 2024-2026.
A searchable directory of 262+ pre-built Claude configurations, MCP servers, and automation tools to enhance AI performance for specific tasks.
A lightweight neural network library for Deno with CPU, GPU, and WASM backends, designed for serverless and edge environments.
A fast and flexible Rust library for implementing genetic algorithms, neuroevolution, and genetic programming.
A real-time object-level reconstruction system for 6D pose estimation using volumetric fusion and multi-object reasoning.
A comprehensive scientific computing and AI/ML library in pure Rust, offering SciPy-compatible APIs with 10-100x performance gains.
Node.js bindings for the Fast Artificial Neural Network Library (FANN), enabling neural network development in JavaScript.
A TensorFlow C API wrapper enabling machine learning in server-side Swift applications.
A simple and powerful neural network library for Python with a MATLAB-like API and flexible configuration.
Unofficial JAX/Flax implementations of deep learning research papers for vision transformers and other architectures.
An open-source CAD framework for designing, simulating, and deploying deep neural networks on embedded platforms.
A simple machine learning framework written in Swift, currently focusing on regression algorithms.
A PyTorch implementation of the DeepDream algorithm for generating psychedelic, dream-like images from neural network activations.
A TensorFlow-based neural network model for generating descriptive captions from images using Flickr30K and MSCOCO datasets.
A production-quality forward-chaining expert system shell implementing the Rete algorithm in modern Common Lisp.
A Clojure wrapper for the Encog machine learning framework, specializing in neural network construction and training.
A Clojure/ClojureScript library that automatically generates project schedules from task descriptions with constraints like resources, duration, and dependencies.
A native desktop application for running large language models locally with Rust and Tauri, offering private AI chat without internet or cloud services.
A simplistic neural network library written in Go with support for single hidden layer and back-propagation learning.
A Pacman AI project implementing search algorithms like DFS, BFS, UCS, and A* for navigation and food collection.
Crystal language bindings for the FANN (Fast Artificial Neural Network) C library.
A curated collection of books covering Artificial Intelligence, Machine Learning, Deep Learning, and Transformers for students and professionals.
A PyTorch-based tool for training custom DeepDream models using GoogleNet and custom image datasets.
A lightweight deep learning library written in C++ with C, C#, and Python interfaces, supporting CPU and GPU computation.
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