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2019-autumn-recruitment-experience

2019届秋招面经集合

a-persona-based-neural-conversation-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.

bert

TensorFlow code and pre-trained models for BERT

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.

clicr

Machine reading comprehension on clinical case reports

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

ebm-nlp

hfo

Half Field Offense in Robocup 2D Soccer

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.

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-a3c-1

Simple A3C implementation with pytorch + multiprocessing

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

rl2019-basecodes

seq2seqattn_ecm

(TensorFlow) Sequence to sequence with attention model, emotion regressor, and Emotional Chatting Machine.

word2vec-googlenews-vectors

word2vec Google News model