This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…

Use word2vec embedding with LSTM for the "Bag of Words meets Bag of Popcorn" challenge

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movi…

Building a sentiment classifier that takes movie review text and output rating from 1 to 10 using Word2Vec, bidirectional LSTM, AWD LSTM and more.

Text prediction and text generation using a LSTM network and word embeddings from word2vec.

Sentiment Analysis using Recurrent Neural Networks (RNN-LSTM) and Google News Word2Vec

Classifying movie reviews as positive or negative using Word2Vec Embeddings & LSTM network

a tensorflow version of Word2Vec with a new loss

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

机器学习相关教程

Using tensorflow to do sentiment analysis based on the IMDB

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Counting CNN and Hydra CNN

A deep learning library to provide algs in pure Numpy or Tensorflow.

Handwritten Digit Recognition using Machine Learning and Deep Learning

Technical experimentations to beat the stock market using deep learning 📈

Deep Pink is a chess AI that learns to play chess using deep learning.

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

Kaggle's competition for using Google's word2vec package for sentiment analysis

Chess reinforcement learning by AlphaGo Zero methods.