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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…

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

SoftVC VITS Singing Voice Conversion

deep learning for image processing including classification and object-detection etc.

Image augmentation for machine learning experiments.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Official repo for consistency models.

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

An easy to use PyTorch to TensorRT converter

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

🔥🔥🔥 专注于YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

Image Completion with Deep Learning in TensorFlow

PyQt5 implementation of YOLOv5 GUI

🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

An implementation of CycleGan using TensorFlow

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet

这是一个mobilenet-yolov4的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。

[CVPR 2023] Official implementation of "DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model"

☁️💡🎈专注于改进YOLOv7，Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules