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pytorch-beginner. pytorch tutorial for beginners
3kcode-of-learn-deep-learning-with-pytorch. This is code of book "Learn Deep Learning with PyTorch"
2.9kDeep-Learning-Project-Template. A best practice for deep learning project template architecture.
1.4kRoadmap-of-DL-and-ML. Roadmap of DL and ML, some courses, study notes and paper summary
755Char-RNN-PyTorch. 使用PyTorch实现Char RNN生成古诗和周杰伦的歌词
153deploy-pytorch-model. Python
142mxnet-tutorial. my simple tutorial for mxnet, a fast deep learning framework
103fcn.pytorch. Python
82neural-transfer. Jupyter Notebook
58Char-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
56cifar10-gluon. Gluon implement of Kaggle cifar10 competition
50cs231n-assignment-solution. This is the cs231n assignment solution
49tensorflow-beginner. tensorflow learning according to CS20SI
48kaggle-house-price. 这是kaggle房价预测的baseline
40Deep-Dream. PyTorch implement of Google Deep Dream
36lenet. Jupyter Notebook
31kaggle-cifar10. 这是kaggle-cifar10的baseline
16reid_baseline_gluon. SOTA results for reid baseline model (Gluon implementation)
13llm-infer-bench. Python
12Digital-Image-Processing. Jupyter Notebook
11DeepLearning-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
10ai-challenger-scene-classification-baseline. PyTorch implement of AI Challenger scene classification baseline
8leetcode-python. This is my leetcode solutions with python
7cycle-GAN-for-Makeup. This is a cycle gan application about makeup remover.
7AI-Challenger-image-caption. PyTorch implement of image caption
7L1aoXingyu.github.io_archive. where blog and notes place
6image-caption-project. this is image caption project reference code
6seq2seq-translation. PyTorch implement of neural machine translation
6dockerfile. Vim Script
6Bottom-up-Clustering-Person-Re-identification. Code for AAAI19 A Bottom-Up Clustering Approach to Unsupervised Person Re-identification
5faster_rcnn.pytorch. my attempt to implement faster rcnn using pytorch
5dog-breed-identification-Gluon. Jupyter Notebook
5machine-learning-by-Zhouzhihua. 周志华《机器学习》
5deep-tesla. End-to-End Learning from Human and Autopilot Driving
4cs224n-learning-camp. Python
4kaggle_dog_vs_cat. Jupyter Notebook
4P1_Facial_Keypoints. First project for CVND: facial keypoint detection.
4reid-strong-baseline. Bag of Tricks and A Strong Baseline for Deep Person Re-identification
3Tensorflow-Project-Template. A best practice for tensorflow project template architecture.
3CarND-LaneLines-P1. udacity self-driving car nanodegree project 1: Laneline detection
2attention-is-all-you-need-pytorch. A PyTorch implementation of the Transformer model in "Attention is All You Need".
2deep-learning-v2-pytorch. Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
2person-reid-tiny-baseline. Python
2Awesome-Person-Re-Identification. Awesome Person Re-Identification
2distracted_driver_detection. detect distracted driver
2LearnCpp. learn cpp
1CNN-LSTM-CTC-text-recognition. CNN and LSTM model for text recognition
1apollo. An open autonomous driving platform
1udacity_CV_SLAM. Jupyter Notebook
1gluon-tutorials-zh. 通过MXNet/Gluon来动手学习深度学习
1image-caption. PyTorch implement of simple image caption
1Notebook. Bookshelf for online notebook. :closed_book::green_book::blue_book::orange_book: 在线笔记的书架。
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