M1rac1e1

M1rac1e1's Stars

• PaddlePaddle/PaddleOCR

  Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

  Language:Python45.4k7.9k

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.8k2.5k

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook15.5k1.4k

• z1069614715/objectdetection_script

  一些关于目标检测的脚本的改进思路代码，详细请看readme.md

  Language:Python5.6k493

• facebookresearch/ConvNeXt

  Code release for ConvNeXt model

  Language:Python5.8k701

• iscyy/yoloair

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

  Language:Python2.6k438

• carla-simulator/carla

  Open-source simulator for autonomous driving research.

  Language:C++11.8k3.8k

• SleepEarlyLiveLong/WHUVID

  Wuhan Urban Visual-inertial Dataset

  271

• pytorch/android-demo-app

  PyTorch android examples of usage in applications

  Language:Java1.5k611

• SmarterEye/SmarterEye-SDK

  Open Source SDK Project.

  Language:C++1211

• moabarar/qna

  [CVPR2022 - Oral] Official Jax Implementation of Learned Queries for Efficient Local Attention

  Language:Python1158

• dcdcvgroup/FcaNet

  FcaNet: Frequency Channel Attention Networks

  Language:Python27845

• Separius/awesome-fast-attention

  list of efficient attention modules

  Language:Python994108

• mikel-brostrom/boxmot

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

  Language:Python6.9k1.7k

• mchong6/JoJoGAN

  Official PyTorch repo for JoJoGAN: One Shot Face Stylization

  Language:Jupyter Notebook1.4k205

• humandotlearning/line_segment_angle_detector

  the code detects angle for a line segment w.r.t x axis.

  Language:Python1

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.7k3.4k

• JUGGHM/OREPA_CVPR2022

  CVPR 2022 "Online Convolutional Re-parameterization"

  Language:Python17316

• DingXiaoH/RepLKNet-pytorch

  Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

  Language:Python88486

• DingXiaoH/RepVGG

  RepVGG: Making VGG-style ConvNets Great Again

  Language:Python3.4k435

• winycg/HCGNet

  [AAAI-2020] Official implementations of HCGNets: Gated Convolutional Networks with Hybrid Connectivity for Image Classification

  Language:Python6512

• DingXiaoH/DiverseBranchBlock

  Diverse Branch Block: Building a Convolution as an Inception-like Unit

  Language:Python32943

• DingXiaoH/ACNet

  ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

  Language:Python837133

• aladdinpersson/Machine-Learning-Collection

  A resource for learning about Machine learning & Deep Learning

  Language:Python7.8k2.7k

• MCG-NKU/SCNet

  The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"

  Language:Python38070

• 666DZY666/micronet

  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

  Language:Python2.2k478

• dvlab-research/ReviewKD

  Distilling Knowledge via Knowledge Review, CVPR 2021

  Language:Python26235

• luuuyi/CBAM.PyTorch

  Non-official implement of Paper：CBAM: Convolutional Block Attention Module

  Language:Python1.4k286

• BangguWu/ECANet

  Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

  Language:Python1.3k199

• yizt/Grad-CAM.pytorch

  pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

  Language:Python738169