There are 41 repositories under lstm topic.
Tesseract Open Source OCR Engine (main repository)
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
A neural network that transforms a design mock-up into a static website.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Friendly machine learning for the web! 🤖
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
中文古诗自动作诗机器人,x炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Tesseract Open Source OCR Engine (main repository)
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
List of papers, code and experiments using deep learning for time series forecasting
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
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 BER
LSTM and QRNN Language Model Toolkit for PyTorch
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
TensorFlow template application for deep learning
The deeplearning algorithms implemented by tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Self-contained Machine Learning and Natural Language Processing library in Go
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
This repo contains implementation of different architectures for emotion recognition in conversations.
Stock Price Prediction using Machine Learning Techniques
Visualization Toolbox for Long Short Term Memory networks (LSTMs)