Jiangjian's repositories
A-Recsys
A Tensorflow based implicit recommender system
Ad-papers
Papers on Computational Advertising
bert
TensorFlow code and pre-trained models for BERT
Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
list_of_recommender_systems
A List of Recommender Systems and Resources
lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
LSTM-Sentiment-Analysis
Sentiment Analysis with LSTMs in Tensorflow
magnitude
A fast, efficient universal vector embedding utility package.
MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
mrfree
a neuroscience-oriented MR data analysis toolbox
Python-1
All Algorithms implemented in Python
react
A declarative, efficient, and flexible JavaScript library for building user interfaces.
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction
Use NLP to predict stock price movement associated with news
SSR-Net
[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
stock-rnn
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Surprise
A Python scikit for building and analyzing recommender systems
Tap-News
Real Time News Scraping and Recommendation System
tensorflow-fcn
An Implementation of Fully Convolutional Networks in Tensorflow.
Tensorflow-Tutorial
Tensorflow tutorial from basic to hard
tensorflow_poems
中文古诗自动作诗机器人,屌炸天,基于tensorflow1.4 api,正在积极维护升级中,快star,保持更新!
tensorflow_practice
tensorflow的一些实战练习
USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
word-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.