232 Open source projects that are alternatives of or similar to Skiprnn 2017 Telecombcn

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

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

Quasi-recurrent Neural Networks for Keras

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

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

R interface to the keras library

Machine Reading Comprehension in Tensorflow

Keras Temporal Convolutional Network.

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

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

Neural machine translator for English2German translation.

Application of machine learning to the Coinbase (GDAX) orderbook

Python library for Reservoir Computing using Echo State Networks

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

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

A Natural Language Toolkit for Indian Languages

An Echo State Network module for PyTorch.

Recurrent Neural Network using randomized SMILES strings to generate molecules

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

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

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

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

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

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.

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

Biologically-realistic recurrent convolutional neural networks

A Python package for gender classification.

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

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

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

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

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Image Captioning: Implementing the Neural Image Caption Generator with python

Some of the ML and DL related reading materials, research papers that I've read

The Official Deep Learning Framework for Route-based Place Recognition

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

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

Implementation of Simple Recurrent Unit in Keras

Top 200 deep learning Github repositories sorted by the number of stars.

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

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

Text classifier for Hierarchical Attention Networks for Document Classification

videos, lectures, blogs for Deep Learning

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

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

parsing scene images with understanding geometric perspective in the loop

PyTorch tutorial for learners

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.

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

A Recurrent Neural Network to predict Bitcoin value

Text Classification Algorithms: A Survey

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

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

The code for the MaD TwinNet. Demo page:

Handwriting Synthesis with RNNs ✏️

Quantize weights and activations in Recurrent Neural Networks.

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