232 Open source projects that are alternatives of or similar to Keras Sru

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

RNN-based generative models for speech.

A Natural Language Toolkit for Indian Languages

Deep learning for price movement prediction using high frequency limit order data

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

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

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

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Recurrent Neural Network using randomized SMILES strings to generate molecules

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Char-RNN implemented using TensorFlow.

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

name entity recognition with recurrent neural network(RNN) in tensorflow

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

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

TensorFlow and Deep Learning Tutorials

Keras Temporal Convolutional Network.

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

Named Entity Recognition using multilayered bidirectional LSTM

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

Machine Reading Comprehension in Tensorflow

parsing scene images with understanding geometric perspective in the loop

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

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

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

A Recurrent Neural Network to predict Bitcoin value

Image Captioning: Implementing the Neural Image Caption Generator with python

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

The Official Deep Learning Framework for Route-based Place Recognition

Named Entity Recognition with RNN, implemented by Chainer

Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Visualizing RNNs using the attention mechanism

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

Machine Learning on Sequential Data Using a Recurrent Weighted Average

Deep Reinforcement Learning based Trading Agent for Bitcoin

A Python package for gender classification.

VIP cheatsheets for Stanford's CS 230 Deep Learning

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Text classifier for Hierarchical Attention Networks for Document Classification

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

Quasi-recurrent Neural Networks for Keras

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

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

Application of machine learning to the Coinbase (GDAX) orderbook

Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks