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This is a C++ implementation of solutions to the coding interview questions in the book Cracking the Coding Interview.
A simple React Native step indicator widget compatible with ViewPager and ListView.
A C++ based web server implementation for running and learning web development
A Python library that uses YOLOv5 and DeepSort to implement vehicle and pedestrian tracking and counting.
Handlebars.Net is a .NET implementation of the Handlebars templating engine, allowing developers to create dynamic templates in their C# applications.
An implementation for detailed localized image and video captioning using large multimodal models.
A collection of attention-based neural network implementations in Python.
A scalable and efficient object detection library implemented in Keras and TensorFlow for vibe coders.
A Rust cryptography library with implementations of various algorithms.
A simple, direct service locator for decoupling interfaces from implementations in Flutter apps.
PyTorch implementation of a multi-label image recognition model using graph convolutional networks.
A fast and efficient C++ hash map and hash set implementation using robin hood hashing.
A lightweight implementation of Bitcoin in Python for developers interested in blockchain.
An implementation of the JamesDSP audio processing engine for non-rooted Android devices.
An official implementation of HigherHRNet, a scale-aware human pose estimation model.
A Java-based implementation of the PaperMC Minecraft server, supporting multi-server and single-world configurations.
A PyTorch implementation of the EfficientDet object detection model for high-performance computer vision tasks.
An implementation of DiffDock, a diffusion-based molecular docking method for binding prediction.
A PyTorch-based YOLOv4 and YOLOv5 implementation for detecting fire and smoke in images and videos.
This repository contains the official implementation of the MobileCLIP and MobileCLIP2 research papers, focused on AI-powered mobile app development.
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