Jiangjian (jiangjiane)

jiangjiane

Geek Repo

Company:Beijing Normal University

Location:Beijing China

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Jiangjian's repositories

pyfat

Fasciculus Aanalysis Tools in Python

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A-Recsys

A Tensorflow based implicit recommender system

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Ad-papers

Papers on Computational Advertising

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bert

TensorFlow code and pre-trained models for BERT

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Deep-Learning-for-Recommendation-Systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

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lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

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list_of_recommender_systems

A List of Recommender Systems and Resources

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lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

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LSTM-Sentiment-Analysis

Sentiment Analysis with LSTMs in Tensorflow

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magnitude

A fast, efficient universal vector embedding utility package.

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MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

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mrfree

a neuroscience-oriented MR data analysis toolbox

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Python-1

All Algorithms implemented in Python

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react

A declarative, efficient, and flexible JavaScript library for building user interfaces.

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

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Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction

Use NLP to predict stock price movement associated with news

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SSR-Net

[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation

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Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

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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.

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Surprise

A Python scikit for building and analyzing recommender systems

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Tap-News

Real Time News Scraping and Recommendation System

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tensorflow-fcn

An Implementation of Fully Convolutional Networks in Tensorflow.

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Tensorflow-Tutorial

Tensorflow tutorial from basic to hard

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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!

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tensorflow_practice

tensorflow的一些实战练习

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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/)

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word-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

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