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Beijing, China

Sherlockxyliao

Elite
@L1aoXingyu

Engineer

pytorch-beginner. pytorch tutorial for beginners

3k

code-of-learn-deep-learning-with-pytorch. This is code of book "Learn Deep Learning with PyTorch"

2.9k

Deep-Learning-Project-Template. A best practice for deep learning project template architecture.

1.4k

Roadmap-of-DL-and-ML. Roadmap of DL and ML, some courses, study notes and paper summary

755

Char-RNN-PyTorch. 使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

153

deploy-pytorch-model. Python

142

mxnet-tutorial. my simple tutorial for mxnet, a fast deep learning framework

103

fcn.pytorch. Python

82

neural-transfer. Jupyter Notebook

58

Char-RNN-Gluon. 使用MXNet的动态图接口Gluon实现Char RNN生成古诗和周杰伦的歌词

56

cifar10-gluon. Gluon implement of Kaggle cifar10 competition

50

cs231n-assignment-solution. This is the cs231n assignment solution

49

tensorflow-beginner. tensorflow learning according to CS20SI

48

kaggle-house-price. 这是kaggle房价预测的baseline

40

Deep-Dream. PyTorch implement of Google Deep Dream

36

lenet. Jupyter Notebook

31

kaggle-cifar10. 这是kaggle-cifar10的baseline

16

reid_baseline_gluon. SOTA results for reid baseline model (Gluon implementation)

13

llm-infer-bench. Python

12

Digital-Image-Processing. Jupyter Notebook

11

DeepLearning-500-questions. 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

10

ai-challenger-scene-classification-baseline. PyTorch implement of AI Challenger scene classification baseline

8

leetcode-python. This is my leetcode solutions with python

7

cycle-GAN-for-Makeup. This is a cycle gan application about makeup remover.

7

AI-Challenger-image-caption. PyTorch implement of image caption

7

L1aoXingyu.github.io_archive. where blog and notes place

6

image-caption-project. this is image caption project reference code

6

seq2seq-translation. PyTorch implement of neural machine translation

6

dockerfile. Vim Script

6

Bottom-up-Clustering-Person-Re-identification. Code for AAAI19 A Bottom-Up Clustering Approach to Unsupervised Person Re-identification

5

faster_rcnn.pytorch. my attempt to implement faster rcnn using pytorch

5

dog-breed-identification-Gluon. Jupyter Notebook

5

machine-learning-by-Zhouzhihua. 周志华《机器学习》

5

deep-tesla. End-to-End Learning from Human and Autopilot Driving

4

cs224n-learning-camp. Python

4

kaggle_dog_vs_cat. Jupyter Notebook

4

P1_Facial_Keypoints. First project for CVND: facial keypoint detection.

4

reid-strong-baseline. Bag of Tricks and A Strong Baseline for Deep Person Re-identification

3

Tensorflow-Project-Template. A best practice for tensorflow project template architecture.

3

CarND-LaneLines-P1. udacity self-driving car nanodegree project 1: Laneline detection

2

attention-is-all-you-need-pytorch. A PyTorch implementation of the Transformer model in "Attention is All You Need".

2

deep-learning-v2-pytorch. Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

2

person-reid-tiny-baseline. Python

2

Awesome-Person-Re-Identification. Awesome Person Re-Identification

2

distracted_driver_detection. detect distracted driver

2

LearnCpp. learn cpp

1

CNN-LSTM-CTC-text-recognition. CNN and LSTM model for text recognition

1

apollo. An open autonomous driving platform

1

udacity_CV_SLAM. Jupyter Notebook

1

gluon-tutorials-zh. 通过MXNet/Gluon来动手学习深度学习

1

image-caption. PyTorch implement of simple image caption

1

Notebook. Bookshelf for online notebook. :closed_book::green_book::blue_book::orange_book: 在线笔记的书架。

1