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yagoudan's Projects

cnn-explainer icon cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

dasr icon dasr

[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

deblurgan icon deblurgan

Image Deblurring using Generative Adversarial Networks

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

hadoop-spark-learning icon hadoop-spark-learning

本项目记录我学习hadoop和spark等开源框架的代码,因为也是最近才用github,之前都是荒废状态,故部分都是是之前写好的,现在上传至github

hadoopdemo icon hadoopdemo

Hadoop简单应用案例,包括MapReduce、单词统计、HDFS基本操作、web日志分析、Zookeeper基本使用、Hive简单操作等

mobilenet-yolo icon mobilenet-yolo

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

ocr icon ocr

CNN+LSTM+CTC进行OCR识别

paddleocr icon 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)

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

repvgg icon repvgg

RepVGG: Making VGG-style ConvNets Great Again

rescan icon rescan

Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining

tensorrtx icon tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

tessdata icon tessdata

Trained models with support for legacy and LSTM OCR engine

yolo-fastest icon yolo-fastest

:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB

yolo-fastestv2 icon yolo-fastestv2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

yolo3-pytorch icon yolo3-pytorch

这是一个yolo3-pytorch的源码,可以用于训练自己的模型。

yolov4-pytorch icon yolov4-pytorch

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

yolov5 icon yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolox icon yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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