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

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Anomaly detection for temporal data using LSTMs

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

PyTorch tutorial for learners

Application of machine learning to the Coinbase (GDAX) orderbook

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

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

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

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

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

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

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

Keras tutorial for beginners (using TF backend)

Sequence to sequence learning using TensorFlow.

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文本情感分析

An open-source tool for sequence learning in NLP built on TensorFlow.

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Neural Machine Translation with Keras

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.

Reinforcement Learning for Portfolio Management

A list of Neural MT implementations

Sequence-to-Sequence Framework in PyTorch

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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

Stock Price Prediction using Machine Learning Techniques

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Predict Cryptocurrency Price with Deep Learning

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

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

Hierarchical Attention Networks for Document Classification in PyTorch

Open-Source Neural Machine Translation in Tensorflow

Named Entity Recognition using multilayered bidirectional LSTM

Some interesting TensorFlow tutorials for beginners.

Generating Dance steps for given music with deep learning

Named Entity Recognition with RNN, implemented by Chainer

Anomaly detection implemented in Keras

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

TensorFlow and Deep Learning Tutorials

Convert TensorFlow models to ONNX

Implementation of Neural Image Captioning model using Keras with Theano backend

All about Neural Networks!

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

Another attempt to use Deep-Learning in the financial markets

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

keras를 이용한 딥러닝 기초 학습

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

The Official Deep Learning Framework for Route-based Place Recognition

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

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.

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

Sentiment Analysis with LSTMs in Tensorflow

A Natural Language Toolkit for Indian Languages

LSTM-CRF for NER with ConLL-2002 dataset