6244 Open source projects that are alternatives of or similar to Lstm Gru Pytorch

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

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.

Hierarchical Attention Networks for Document Classification in PyTorch

Automatic image captioning model based on Caffe, using features from bottom-up attention.

LSTM-CRF for NER with ConLL-2002 dataset

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

文本情感分析

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

QA - Answer Selection (Rank candidate answers for a given question)

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

lidc nodule detection with CNN and LSTM network

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

A cute multi-layer LSTM that can perform like a human 🎶

The deeplearning algorithms implemented by tensorflow

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

Keras tutorial for beginners (using TF backend)

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

Convert TensorFlow models to ONNX

Implementation of Neural Image Captioning model using Keras with Theano backend

Another attempt to use Deep-Learning in the financial markets

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

My Attempt(s) In The World Of ML/DL....

Neural machine translator for English2German translation.

Anomaly detection for temporal data using LSTMs

PyTorch tutorial for learners

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Natural Language Processing with TensorFlow, published by Packt

Traffic Graph Convolutional Recurrent Neural Network

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Image Captioning using InceptionV3 and beam search

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

Cryptocurrency Price Prediction Using LSTM neural network

Predict Cryptocurrency Price with Deep Learning

Neural Turing Machines (NTM) - PyTorch Implementation

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

Activity Recognition from 2D pose using an LSTM RNN

Generating Dance steps for given music with deep learning

Some interesting TensorFlow tutorials for beginners.

Sentiment Analysis with LSTMs in Tensorflow

List of papers, code and experiments using deep learning for time series forecasting

keras를 이용한 딥러닝 기초 학습

All about Neural Networks!

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.

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.

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

Application of machine learning to the Coinbase (GDAX) orderbook

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

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。

Chinese Poetry Generation

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Stock Price Prediction using Machine Learning Techniques

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

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

All my experiments with AI and ML