杨海宏's repositories
awesome-generative-models
Collections of GANs, VAEs and other models.
2018-IJCAI-top3
This 2018 IJCAI alimama Top3 Code
2018-KDD-Cup-Top1-Solutions
2018 KDD Cup Top1 Solutions
_vimrc
我的vim配置my vimrc for python
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
atec-nlp
ATEC 金融大脑-金融智能NLP服务
awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
awesome-text-summarization
The guide to tackle with the Text Summarization
BuboQA
Question answering over knowledge graphs
commonsense-rc
2nd Place Solution for SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge
DCGAN_WGAN_WGAN-GP_LSGAN_SNGAN_RSGAN_RaSGAN_TensorFlow
Implementation of some different variants of GANs by tensorflow, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
dogs_vs_cats
猫狗大战
finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
gae-pytorch
Graph Auto-Encoder in PyTorch
nlu_sim
all kinds of baseline models for sentence similarity
PaperTags
Personal Tools for managing hundreds of papers, with tagging system.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pubg-python
A python wrapper for the PUBG developer API
Pytorch-RNN-text-classification
Word Embedding + LSTM + FC
pytorch-sentiment-analysis
A few tutorials on getting started with PyTorch and TorchText for sentiment analysis.
pytorchic-bert
Pytorch Implementation of Google BERT
pytorchviz
A small package to create visualizations of PyTorch execution graphs
utils
Every efficient programmer needs a utils for productivity and reusability.
Word_Embedding
Implementation of word embedding algorithm