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

Bert-classification and bert-dssm implementation with keras.

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

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

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

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

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Python framework for Speech and Music Detection using Keras.

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks

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

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

Implementation of triplet loss in TensorFlow

NN based lossless compression

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

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.

Named Entity Recognition with RNN, implemented by Chainer

Sign Language Recognition for Deaf People

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Efficient and easy to use transliteration for Indian languages

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Solves basic Russian NLP tasks, API for lower level Natasha projects

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

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Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

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

Stock Price Prediction using Machine Learning Techniques

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

A tool for learning vector representations of words and entities from Wikipedia

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)

This repo contains implementation of different architectures for emotion recognition in conversations.

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。

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

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

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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Use NLP to predict stock price movement associated with news

Hierarchical Attention Networks for Document Classification in PyTorch

Context-sensitive word embeddings with subwords. In Rust.

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Another attempt to use Deep-Learning in the financial markets

使用深度学习算法实现的中文问答系统

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

keras를 이용한 딥러닝 기초 학습