PeanutH17

PeanutH17's Stars

• ViTAE-Transformer/ViTDet

  Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"

  Language:Python53146

• FangShancheng/ABINet

  Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

  Language:Jupyter Notebook42972

• bentrevett/pytorch-seq2seq

  Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

  Language:Jupyter Notebook5.4k1.3k

• open-mmlab/mmdetection3d

  OpenMMLab's next-generation platform for general 3D object detection.

  Language:Python5.3k1.5k

• chenyuntc/pytorch-book

  PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

  Language:Jupyter Notebook12.1k3.7k

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python50.8k16.3k

• amirmgh1375/TextRecognitionDataGenerator

  A synthetic data generator for text recognition with arabic and persian strings support

  Language:Python296

• RangiLyu/nanodet

  NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

  Language:Python5.8k1k

• CopyTranslator/CopyTranslator

  Foreign language reading and translation assistant based on copy and translate.

  Language:TypeScript17.2k1.9k

• nicolas-gervais/predicting-car-price-from-scraped-data

  Picture and specifications scraper

  Language:Jupyter Notebook416124

• xingyizhou/CenterNet2

  Two-stage CenterNet

  Language:Python1.2k188

• BaofengZan/yolov5_2.0-TensorRt

  U版yolov5 2.0的tensorrt加速

  Language:C++3712

• Tianxiaomo/pytorch-YOLOv4

  PyTorch ,ONNX and TensorRT implementation of YOLOv4

  Language:Python4.5k1.5k

• RidgeRun/gstd-1.x

  GStreamer Daemon is a GStreamer framework for controlling audio and video streaming using TCP messages. This version is based on GStreamer 1.x

  Language:C17255

• marcoslucianops/DeepStream-Yolo

  NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

  Language:C++1.5k358

• NVIDIA-AI-IOT/yolo_deepstream

  yolo model qat and deploy with deepstream&tensorrt

  Language:Python549139

• DanaHan/Yolov5-in-Deepstream-5.0

  Describe how to use yolov5 in Deepstream 5.0

  Language:C++20956

• AIpakchoi/yolov5_tensorrt

  This is the implementation that supports yolov5s, yolov5m, yolov5l, yolov5x.

  Language:Jupyter Notebook346

• tf2jaguar/pytorch_train

  毕业设计 使用pytorch进行深度学习网络模型训练，实现车型识别

  Language:Python999

• lsn5966397/vehicle_detection

  车辆检测及型号识别的深度学习模型

  Language:Python92

• Sharpiless/yolov3-vehicle-detection-paddle

  vehicle-detection based on yolov3（基于paddle的YOLOv3车辆检测和类型识别）

  Language:Python14930

• Qidian213/deep_sort_yolov3

  Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

  Language:Python1.7k592

• Zzh-tju/DIoU

  Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

  Language:MATLAB31150

• Zzh-tju/DIoU-pytorch-detectron

  Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

  Language:Python8816

• miemie2013/Pytorch-DIOU-YOLOv3

  Pytorch复现YOLOv3，使用最新的DIOU loss训练

  Language:Python6928

• bubbliiiing/yolo3-pytorch

  这是一个yolo3-pytorch的源码，可以用于训练自己的模型。

  Language:Python2k584

• bubbliiiing/yolov4-pytorch

  这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

  Language:Python2.1k615

• PeanutH17/torchstat

  Model analyzer in PyTorch

  1

• Swall0w/torchstat

  Model analyzer in PyTorch

  Language:Python1.5k142

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.4k3.6k