Tensors and Dynamic neural networks in Python with strong GPU acceleration

Open Source Computer Vision Library

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Getting Started with Spring Boot 3:

Convolutional Neural Networks

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Latex code for making neural networks diagrams

Learn OpenCV : C++ and Python Examples

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

The most intuitive desktop API client. Organize and execute REST, GraphQL, WebSockets, Server Sent Events, and gRPC 🦬

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Autoware - the world's leading open-source software project for autonomous driving

Vamos transformar o Brasil em uma API?

🌊 Online machine learning in Python

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

An experimental Rust native UI framework

Arduino and PlatformIO IDE compatible TFT library optimised for the Raspberry Pi Pico (RP2040), STM32, ESP8266 and ESP32 that supports different driver chips

Solving the Traveling Salesman Problem using Self-Organizing Maps

A GPU compute-centric 2D renderer.

Example code for the book Microservice patterns

Pelias is a modular open-source geocoder using Elasticsearch.

Open source hardware and software platform to build a small scale self driving car.

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…

OpenMapTiles Vector Tile Schema Implementation

Flutter's №1 non-commercially aimed map client: it's easy-to-use, versatile, vendor-free, fully cross-platform, and 100% pure-Flutter

Udacity Self-Driving Car Engineer Nanodegree projects.