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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
Rich is a Python library for rich text and beautiful formatting in the terminal.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
deep learning for image processing including classification and object-detection etc.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Joint Detection and Embedding for fast multi-object tracking
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal
Code for our CVPR2021 paper coordinate attention
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
[CVPR 2020] Detection in Crowded Scenes: One Proposal, Multiple Predictions
🕹️SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy
Centralized Feature Pyramid for Object Detection
[CVPR2022 - Oral] Official Jax Implementation of Learned Queries for Efficient Local Attention
Official implementation of the paper "Progressive End-to-End Object Detection in Crowded Scenes"
Spatial-Attention Location-Aware Multi-Object Tracking
bounding box annotations, python evaluation code, and a benchmark for CityPersons