zhouuuuuu's repositories
pytorch-pretrained-BERT
📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
bert
TensorFlow code and pre-trained models for BERT
clicr
Machine reading comprehension on clinical case reports
2019-Autumn-recruitment-experience
2019届秋招面经集合
Machine-Learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
nmt_toolkit
Materials for the second assignment of INFR 11157.
HFO
Half Field Offense in Robocup 2D Soccer
pytorch-A3C-1
Simple A3C implementation with pytorch + multiprocessing
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.
pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Seq2seqAttn_ECM
(TensorFlow) Sequence to sequence with attention model, emotion regressor, and Emotional Chatting Machine.
dialog
An "end-to-end trainable task-oriented dialogue model" implementation.
dnn_ctr
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
word2vec-GoogleNews-vectors
word2vec Google News model
Asynchronous-Methods-for-Deep-Reinforcement-Learning
Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.