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xsmile-love's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

cyclemlp icon cyclemlp

[ICLR'22 Oral] Implementation of "CycleMLP: A MLP-like Architecture for Dense Prediction"

damo-yolo icon damo-yolo

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

easycv icon easycv

An all-in-one toolkit for computer vision

emanet icon emanet

Multiscale Hybrid Convolutional Deep Neural Networks with Channel Attention

fasternet icon fasternet

[CVPR 2023] Code release for PConv and FasterNet

fcos-pytorch icon fcos-pytorch

这是一个fcos-pytorch的仓库,可以用于训练自己的数据集。

hornet icon hornet

HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

mmgeneration icon mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

retinanet-pytorch icon retinanet-pytorch

这是一个retinanet-pytorch的源码,可以用于训练自己的模型。

sa-net icon sa-net

Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

sd-dert icon sd-dert

The official implementation of SD DETR

simam icon simam

The official pytorch implemention of our ICML paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks".

slim-neck-by-gsconv icon slim-neck-by-gsconv

Pytorch implementation of Slim-neck by GSConv: A better design paradigm of detector architectures for autonomous vehicle

yoloair icon yoloair

🔥🔥🔥YOLOv7, YOLOv5, YOLOv4, Transformer, YOLOX, YOLOR, YOLOv3 and Improved-YOLOv5... Support to improve backbone, head, loss, IoU, NMS and other modules

yolou icon yolou

YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6、YOLOv7、YOLOX、YOLOX-Lite、TensorRT、NCNN、Tengine、OpenVINO

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