这里记录我总结的一些deeplearning的学习心得和体会。

An open-source NLP research library, built on PyTorch.

Extract audio embedding feature by metric learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Help converting LabelMe Annotation Tool JSON format to YOLO text file format. If you've already marked your segmentation dataset by LabelMe, it's easy to use this tool to help converting to YOLO fo…

Convert JSON annotations into YOLO format.

Pytorch implementation and extension of "DocUnet: Document Image Unwarping via A Stacked U-Net"

[AAAI 2023] Exploring CLIP for Assessing the Look and Feel of Images

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

Python wrapper of ZXing Java library, making qrcode decoding super easy!

It is a simple library to speed up CLIP inference up to 3x (K80 GPU)

Low-latency ONNX and TensorRT based zero-shot classification and detection with contrastive language-image pre-training based prompts

Real-time and accurate open-vocabulary end-to-end object detection

Clapper.app, a video synthesizer and sequencer designed for the age of AI cinema

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

tensorrt for yolo series (YOLOv11,YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support

code for CVPR2024 paper: DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction

🔥 YOLOv9 paper解析，训练自己的数据集，TensorRT端到端部署， NCNN安卓手机部署

🎨 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）

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。

An example running Object Detection using Core ML (YOLOv8, YOLOv5, YOLOv3, MobileNetV2+SSDLite)

Generative Models by Stability AI