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

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

VIP cheatsheets for Stanford's CS 230 Deep Learning

Text classifier for Hierarchical Attention Networks for Document Classification

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

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

Machine Learning on Sequential Data Using a Recurrent Weighted Average

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

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

parsing scene images with understanding geometric perspective in the loop

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

RMDL: Random Multimodel Deep Learning for Classification

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

Named Entity Recognition with RNN, implemented by Chainer

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

Visualizing RNNs using the attention mechanism

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

Deep Reinforcement Learning based Trading Agent for Bitcoin

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.

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

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

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Image Captioning: Implementing the Neural Image Caption Generator with python

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

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.

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

Reinforcement Learning for Portfolio Management

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

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

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow

A Natural Language Toolkit for Indian Languages

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

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

TensorFlow and Deep Learning Tutorials

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

RNN-based generative models for speech.

Application of machine learning to the Coinbase (GDAX) orderbook

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).

Recurrent Neural Network using randomized SMILES strings to generate molecules

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

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

Named Entity Recognition using multilayered bidirectional LSTM

Machine Reading Comprehension in Tensorflow

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

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

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

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

Char-RNN implemented using TensorFlow.

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

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

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

This is an open sourced book on deep learning.

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

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

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

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

A Python package for gender classification.

The Official Deep Learning Framework for Route-based Place Recognition

A Recurrent Neural Network to predict Bitcoin value