A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Automatic Speech Recognition(ASR), Text-To-Speech(TTS) engine. 中英语音识别、多角色语音合成，支持多语言，准确率高

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

The simplest and most cost-effective AI integration solution, enabling any device to achieve intelligent conversation functionality (based on ESP development boards). If you like this project, plea…

Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 serve…

Pytorch实现的流式与非流式的自动语音识别框架，同时兼容在线和离线识别，目前支持Conformer、Squeezeformer、DeepSpeech2模型，支持多种数据增强方法。

An object tracking project with YOLOv8 and ByteTrack, speed up by C++ and TensorRT.

《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程

workspace是基于C++11的轻量级异步执行框架，支持：通用任务异步并发执行、优先级任务调度、自适应动态线程池、高效静态线程池、异常处理机制等。

This repository give a guidline to learn CUDA and TensorRT from the beginning.

基于TensorRT的C++高性能推理库，Yolov10, YoloPv2，Yolov5/7/X/8，RT-DETR，单目标跟踪OSTrack、LightTrack。

国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 课程主页：http://111.229.117.200:7001/

rknn-3588部署yolov5，npu加速，利用线程池

2021年最新总结 500个常用数据结构，算法，算法导论，面试常用，大厂高级工程师整理总结

音视频流媒体权威资料整理，500+份文章，论文，视频，实践项目，协议，业界大神名单。

A unofficial Pytorch implementation of Microsoft's PHASEN

esp32 based device, mainly used for voice chat with large language models

自动驾驶笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容。由于水平有限，文中不妥之处恳请广大读者批评指正。如有合作意向，请联系 [email protected]

This is a repository to practice multi-thread programming in C++

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星：）。

安卓电视直播软件，内置直播源

Easy Training Official YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning!

基于手写AI的infer模块，使用ffmpeg拉流解码送入trt_yolov8进行目标检测，渲染后推流输出画面，支持cuda硬件编解码

Unofficial implemention of lanenet model for real time lane detection

Deploy your model with TensorRT quickly. 快速使用TensorRT来部署模型

C++11/14/17/20 multithreading, involving operating system principles and concurrent programming technology.