232 Open source projects that are alternatives of or similar to Predrnn Pytorch

Named Entity Recognition using multilayered bidirectional LSTM

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

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

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).

The RWTH extensible training framework for universal recurrent neural networks

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

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

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

Reinforcement Learning for Portfolio Management

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow

RNN-based generative models for speech.

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

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

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

A Natural Language Toolkit for Indian Languages

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

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

Char-RNN implemented using TensorFlow.

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

This is an open sourced book on deep learning.

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

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Recurrent Neural Network using randomized SMILES strings to generate molecules

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

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

Visualizing RNNs using the attention mechanism

🥕 Evolutionary Neural Networks in JavaScript

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

Machine Learning on Sequential Data Using a Recurrent Weighted Average

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

Deep Reinforcement Learning based Trading Agent for Bitcoin

parsing scene images with understanding geometric perspective in the loop

VIP cheatsheets for Stanford's CS 230 Deep Learning

Image Captioning: Implementing the Neural Image Caption Generator with python

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

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.

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

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

A Recurrent Neural Network to predict Bitcoin value

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.

Implementation of State-of-the-art Text Classification Models in Pytorch

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

RMDL: Random Multimodel Deep Learning for Classification

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

Anomaly detection implemented in Keras

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

The Official Deep Learning Framework for Route-based Place Recognition

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.

Named Entity Recognition with RNN, implemented by Chainer

Simple and comprehensive tutorials in TensorFlow

Text classifier for Hierarchical Attention Networks for Document Classification

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

Application of machine learning to the Coinbase (GDAX) orderbook

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

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

Machine Reading Comprehension in Tensorflow

TensorFlow and Deep Learning Tutorials