DavidHSTai (giorking)

giorking

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Location:Bay area

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DavidHSTai's repositories

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

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cvpr2019

cvpr2019 papers,极市团队整理

Attention-Augmented-Conv2d

Implementing Attention Augmented Convolutional Networks using Pytorch

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Augmentor

Image augmentation library in Python for machine learning.

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AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

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caffe-1

Caffe for Sparse and Low-rank Deep Neural Networks

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CV-arXiv-Daily

分享计算机视觉每天的arXiv文章

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Detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

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Distributed-Tutorial

Tutorial for Distributed Deep Learning on Serveral Frameworks,e.g. Keras, Tensorflow, PyTorch

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dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

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GHM_Detection

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

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jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

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KerasPersonLab

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

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LeetCode-3

LeetCode In Action - Python (384+)

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lihang-code

《统计学习方法》的代码实现

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LintCode-2

Java Solutions to problems on LintCode/LeetCode

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Pedestrian-Intention-Classification

Provide Guide to Autonomous Vehicle for Pedestrian Crossing Detection

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pwc

Papers with code. Sorted by stars. Updated weekly.

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pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

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Pytorch-Memory-Utils

pytorch memory track code

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PyTorch_60minutes

PyTorch官方文档60分钟入门教程代码

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social-lstm

Social LSTM implementation in PyTorch

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spconv

Spatial Sparse Convolution in PyTorch

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Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

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system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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USTC-Course

:heart:**科学技术大学课程资源

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Xception-caffe

Xception implemented with caffe

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