Popular GitHub Repositories for Multithreading

High-efficiency floating-point neural network inference operators for mobile, server, and Web

GPU Accelerated t-SNE for CUDA with Python bindings

Acceleration package for neural networks on multi-core CPUs

Various C# implementations of game AI

AI Tracking Solution for Any PTZ Cameras

Automatic GPU, TPU, FPGA, Xeon Phi, Multithreaded, Distributed, etc. offloading for scientific machine learning (SciML) and differential equations

High-performance library for approximate inference on discrete Bayesian networks on GPU and CPU

The open source implementation of "NeVA: NeMo Vision and Language Assistant"

An all-new OS that orchestrates autonomous agents as workers to execute tasks.

(WIP) ? High performance nerual network inference engine running on Web.

A Starcraft Broodwar bot

It captures frames from a camera and initially tries to detect faces, if it finds faces then it starts using computer vision to detect faces from a known face list. If its matches anyone known, it will open the door.

NimbleBox Apprenticeship ML Engineer Task - 1. This project demonstrates the implementation of a Language Model Server using FastAPI and gRPC. It leverages a large language model to generate coherent text based on user input.

Wrappers for arrays to make broadcasted operations multithreaded and multiprocessed for high-performance scientific machine learning (SciML)

The VoiceProcessingToolkit is an all-encompassing suite designed for sophisticated voice detection, wake word recognition, text-to-speech synthesis, and advanced audio processing. It offers intuitive interfaces to streamline the integration of voice processing capabilities into your applications

Welcome to IPC Section Classification! This platform uses an advanced Language Model to swiftly analyze FIRs, providing accurate IPC section identification. Simplify legal processes in just a few clicks. Accessible and efficient! #LegalTech #IPCClassification ??

Controlling Streaming Platforms using Eye and Hand Detection.

FaceSwap is a Python-based application for swapping faces in images using deep learning techniques. It features face detection, landmarking, and seamless face blending with OpenCV and Dlib. The app supports both sequential and multithreaded processing for optimized performance and includes a Tkinter-based UI. Ideal for image editing and fun project

一个可用于 PyTorch 的自定义 Hugging Face Transformer 层，它使用 BM25 和 FAISS 搜索对蒸馏数据（保存为权重）进行检索增强生成 (RAG)，然后再将结果传递给选定的模型。