429 Open source projects that are alternatives of or similar to LSTM-GRU-from-scratch

semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.

使用深度学习算法实现的中文问答系统

Tensorflow Node.js Examples

Friendly machine learning for the web! 🤖

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Train an LSTM to generate piano or violin/piano music.

Generative Adversarial Networks in TensorFlow 2.0

Neural word segmentation with rich pretraining, code for ACL 2017 paper

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

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

Neural Turing Machines (NTM) - PyTorch Implementation

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

唐诗、宋词生成器，有详细说明

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

Clothing detection dataset

第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

Generate Thai Songs' lyrics using Deep Learning

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

CNN+LSTM+CTC based OCR implemented using tensorflow.

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

Anomaly detection implemented in Keras

(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

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

Social LSTM using PyTorch for Vehicle Data

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

Plain Stock Close-Price Prediction via Graves LSTM RNNs

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

bitcoin prediction algorithms

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

🥕 Evolutionary Neural Networks in JavaScript

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

LSTM based on go and gorgonia

convolutional lstm implementation in pytorch

Thio - a playground for real-time anomaly detection

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

stock predict by cnn and lstm

datagrand 2019 information extraction competition rank9

No description or website provided.

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

Python framework for Speech and Music Detection using Keras.

Sorting numbers with pointer networks

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Image Captioning: Implementing the Neural Image Caption Generator with python

📚 Text classification library with Keras

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Spectrum is an AI that uses machine learning to generate Rap song lyrics

DSTC6: End-to-End Conversation Modeling Track

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.