Neural network

Qdrant is a high-performance vector database and search engine written in Rust, designed for similarity search, semantic matching, and neural...

Distributed Llama enables distributed LLM inference by connecting home devices into a cluster using tensor parallelism and Ethernet synchronization...

A structured educational repository providing hands-on Jupyter notebooks and code for learning AI fundamentals, from math and PyTorch through...

ONNX is an open standard format for representing machine learning models that enables interoperability across different AI frameworks (PyTorch,...

FANN is a lightweight, open-source C library implementing multilayer artificial neural networks with support for various training algorithms...

hls4ml translates machine learning models (Keras, PyTorch, ONNX) into synthesizable HLS code for deployment on FPGAs, enabling ultra-low-latency...

TensorFlow is Google's open-source end-to-end machine learning platform providing stable Python and C++ APIs for building, training, and deploying ML...

BeatAI is an educational content platform and learning resource hub focused on making AI fundamentals accessible to learners at all levels, from...

This repository contains solutions, notes, and Jupyter notebooks for Andrew Ng's Machine Learning Specialization on Coursera (2022 edition). It...

Kornia is a PyTorch-based differentiable computer vision library providing 500+ operators for image processing, geometric transformations,...

A curated collection of AI learning resources—books, courses, papers, and tools—organized by topic and skill level. It serves as a structured entry...

XNNPACK is a specialized inference library providing optimized neural network operators for ARM, x86, WebAssembly, and RISC-V platforms. It serves as...

GoMLX is a machine learning framework for Go that brings PyTorch/JAX/TensorFlow-like functionality to the Go ecosystem, supporting training and...

TensorFlow Serving is a production-grade inference serving system designed to deploy trained machine learning models at scale with minimal latency....

Autograd automatically computes derivatives of NumPy code, supporting reverse-mode (backpropagation) and forward-mode differentiation with...

CompressAI is a PyTorch library and evaluation platform designed for end-to-end learned image and video compression research. It provides custom...

Comic Translate is a specialized application that automatically translates comics, manga, manhwa, and other graphic novels across 11+ source...

NeuralForecast is a Python library providing scalable neural forecasting models (NBEATS, Transformers, DeepAR, etc.) for time-series prediction...

Manga Image Translator is a specialized tool for translating text within manga, comics, and images using deep learning-based OCR, text detection, and...

ExecuTorch is PyTorch's framework for deploying AI models on-device across mobile, embedded, and edge hardware with minimal footprint (50KB base...

PennyLane is an open-source quantum computing platform that enables researchers and developers to design, simulate, and optimize quantum algorithms...

PyTorch is a widely-used open-source deep learning framework providing GPU-accelerated tensor computation and a dynamic tape-based autograd system...

FINN is a specialized dataflow compiler from AMD Research that generates efficient FPGA accelerators for quantized neural network inference. It...

imagededup is a Python package for finding exact and near-duplicate images in collections using multiple algorithms (CNN, perceptual hashing,...

ncnn is a high-performance neural network inference framework optimized for mobile, embedded, and desktop deployment with zero third-party...

aeon is a scikit-learn compatible Python toolkit for time series machine learning covering classification, regression, clustering, forecasting,...

PyCM is a specialized Python library for computing and analyzing confusion matrices across multi-class classification problems, providing extensive...

Burn is a Rust-based tensor library and deep learning framework that unifies training and inference through a single codebase, eliminating the...

Instant-NGP is a specialized research implementation of neural graphics primitives (NeRF, SDFs, neural images, volumes) optimized for real-time...

Netron is a viewer for visualizing neural network and machine learning models across multiple frameworks (ONNX, TensorFlow, PyTorch, Core ML, and 10+...