Pinned Repositories
bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Code_NeurIPS4041
Course-Note
cs224n-Squad-Project
cs224n-winter17-notes
Course notes for CS224N Winter17
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
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，50余万字。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
DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
dlaicourse
Notebooks for learning deep learning
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
guoxiaojun1999's Repositories
guoxiaojun1999/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
guoxiaojun1999/bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
guoxiaojun1999/Code_NeurIPS4041
guoxiaojun1999/Course-Note
guoxiaojun1999/cs224n-Squad-Project
guoxiaojun1999/cs224n-winter17-notes
Course notes for CS224N Winter17
guoxiaojun1999/CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
guoxiaojun1999/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，50余万字。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
guoxiaojun1999/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
guoxiaojun1999/dlaicourse
Notebooks for learning deep learning
guoxiaojun1999/geom-gcn
guoxiaojun1999/GNNPapers
Must-read papers on graph neural networks (GNN)
guoxiaojun1999/googletest
Googletest - Google Testing and Mocking Framework
guoxiaojun1999/GPRGNN
guoxiaojun1999/guoxiaojun1999.github.io
guoxiaojun1999/leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
guoxiaojun1999/libpku
贵校课程资料民间整理
guoxiaojun1999/Neural-Style-Transfer-Papers
:pencil2: Neural Style Transfer: A Review
guoxiaojun1999/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]
guoxiaojun1999/pytorch-transformer
pytorch implementation of Attention is all you need
guoxiaojun1999/pytorch_tutorial_exercises
Python codes for exercises in the official Pytorch tutorials
guoxiaojun1999/PytorchNetHub
加注释的网络模型（便于理解）
guoxiaojun1999/RAKE-tutorial
A python implementation of the Rapid Automatic Keyword Extraction
guoxiaojun1999/Shared-learning-materials
正在搭架子 作为公共分享资料
guoxiaojun1999/stackoverflow-py-top-qa
stackoverflow上Python相关回答整理翻译
guoxiaojun1999/Structured-Self-Attention
A Structured Self-attentive Sentence Embedding
guoxiaojun1999/SuperGAT
Official implementation of Self-supervised Graph Attention Networks (SuperGAT), ICLR 2021.
guoxiaojun1999/TextClassificationBenchmark
A Benchmark of Text Classification in PyTorch
guoxiaojun1999/the-gan-zoo
A list of all named GANs!
guoxiaojun1999/THU-CST-Cracker
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University