zxf864823150

zxf864823150

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zxf864823150's repositories

face_recognition

The world's simplest facial recognition api for Python and the command line

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SiameseX.PyTorch

A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamRPN, SiamRPN++, SiamVGG, SiamDW, SiamRPN-VGG.

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tensorrt_custom_plugin

custom plugin for tensorrt, include pRelu, leakyRelu, Slice...

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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Machine_Learning

机器学习相关材料,以及Coursera课程的作业

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deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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0-basic

书本学习项目

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wtfpython-cn

wtfpython的中文翻译/施工结束/ 能力有限,欢迎帮我改进翻译

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wtfpython

A collection of surprising Python snippets and lesser-known features.

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MTCNN_FaceDetection_TensorRT

MTCNN C++ implementation with NVIDIA TensorRT Inference accelerator SDK

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sublime-text

sublime-text

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pytorch-slimming

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

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pytorch_to_TensorRT5

通过pytorch搭建卷积神经网络完成手写识别任务,并将训练好的模型以多种方式部署到TensorRT中加速。(1)通过加载权重。(2)通过加载onnx。(3)通过加载engine。

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spark-doc-zh

Apache Spark 官方文档中文版

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Mxnet2Caffe-Tensor-RT-SEnet

Mxnet2Caffe_Tensor RT

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pyecharts

🎨 Python Echarts Plotting Library

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PlotNeuralNet

Latex code for making neural networks diagrams

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TSN-pytorch

Pytorch impelementation for Temporal Segment Networks (TSN) in ECCV 2016

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pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

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SiamRPN-VGG

Combination of SiamRPN and VGG

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awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

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sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

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machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

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awesome-python-cn

Python资源大全中文版,包括:Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等,由伯乐在线持续更新。

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Deep-Learning-21-Examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

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tensorflow_test

study tensorflow

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dash

Analytical Web Apps for Python. No JavaScript Required.

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faster_rcnn_pytorch

Faster RCNN with PyTorch

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pytorch-center-loss

Pytorch implementation of Center Loss

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SENet

Squeeze-and-Excitation Networks

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