576 Open source projects that are alternatives of or similar to Stock Rnn

Sentiment Analysis: Deep Bi-LSTM+attention model

Use unsupervised and supervised learning to predict stocks

(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 Movie Reviews Dataset

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Plain Stock Close-Price Prediction via Graves LSTM RNNs

All my experiments with AI and ML

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Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

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

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Augmenting word embeddings with their surrounding context using bidirectional RNN

Time series based anomaly detector

Social LSTM using PyTorch for Vehicle Data

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Tensorflow Implementation of GAN modeling for sequential data

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Image Captioning: Implementing the Neural Image Caption Generator with python

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

LSTM-CRF for NER with ConLL-2002 dataset

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.

This repo contains code to detect sarcasm from text in discussion forum using deep learning

Bert-classification and bert-dssm implementation with keras.

language model in Chinese，基于Pytorch官方文档实现

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

Python framework for Speech and Music Detection using Keras.

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

Sorting numbers with pointer networks

100+ Chinese Word Vectors 上百种预训练中文词向量

📚 Text classification library with Keras

A curated list of repositories for my book Machine Learning Solutions.

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

NN based lossless compression

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Sign Language Recognition for Deaf People

An implementation of skip-thought vectors in Tensorflow

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

A Python package for gender classification.

The Official Deep Learning Framework for Route-based Place Recognition

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Strategies to Gekko trading bot with backtests results and some useful tools.

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

Application of machine learning to the Coinbase (GDAX) orderbook

Spectral-Spatial Unified Networks for Hyperspectral Image Classification

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Google Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab

A Natural Language Toolkit for Indian Languages

Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Efficient and easy to use transliteration for Indian languages