6519 Open source projects that are alternatives of or similar to Language Translation

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

Chinese Poetry Generation

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Activity Recognition from 2D pose using an LSTM RNN

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

lidc nodule detection with CNN and LSTM network

Implementation of Neural Image Captioning model using Keras with Theano backend

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Generating Dance steps for given music with deep learning

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

QA - Answer Selection (Rank candidate answers for a given question)

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

Traffic Graph Convolutional Recurrent Neural Network

A neural network that transforms a design mock-up into a static website.

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

Translating English sentences to Marathi using Neural Machine Translation

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

A Neural Network based Chatbot

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

An implementation of attention-based neural machine translation using Pytorch

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Lightweight C++11 library for building deep recurrent neural networks

Image Captioning using InceptionV3 and beam search

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.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

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

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

Sequence-to-Sequence Framework in PyTorch

Sequence to sequence learning using TensorFlow.

A Natural Language Toolkit for Indian Languages

The Official Deep Learning Framework for Route-based Place Recognition

Neural Machine Translation with Keras

Predict Cryptocurrency Price with Deep Learning

Hierarchical Attention Networks for Document Classification in PyTorch

Keras tutorial for beginners (using TF backend)

Open-Source Neural Machine Translation in Tensorflow

Stock Price Prediction using Machine Learning Techniques

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Named Entity Recognition with RNN, implemented by Chainer

Convert TensorFlow models to ONNX

Sentiment Analysis with LSTMs in Tensorflow

Reinforcement Learning for Portfolio Management

Another attempt to use Deep-Learning in the financial markets

keras를 이용한 딥러닝 기초 학습

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

LSTM-CRF for NER with ConLL-2002 dataset

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

Image Captioning: Implementing the Neural Image Caption Generator with python

All about Neural Networks!

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

An implementation of RNNsearch using TensorFlow

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

A list of Neural MT implementations