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Build android apps without any java, entirely in C and Make
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
智能视频多语言AI配音/翻译工具 - Linly-Dubbing — “AI赋能，语言无界”
stb single-file public domain libraries for C/C++
【大模型】3小时完全从0训练一个仅有26M的小参数GPT，最低仅需2G显卡即可推理训练！
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curatio…
Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deplo…
Show keyboard, gamepad and mouse input on stream
Master programming by recreating your favorite technologies from scratch.
基于PaddleOCR重构，并且脱离PaddlePaddle深度学习训练框架的轻量级OCR，推理速度超快
auto-labelimg based on yolov5, with many other useful tools
This repository contains code for object detection and tracking in videos using the YOLOv10 object detection model and the DeepSORT algorithm.
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
🎨 Pytorch YOLO v5 训练自己的数据集超详细教程！！！ 🎨 (提供PDF训练教程下载）
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deplo…
Hook and simulate global mouse events in pure Python
Hook and simulate global keyboard events on Windows and Linux.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Intelligence development framework in python for your product like Apple Intelligence
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.