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Keras tutorial for beginners (using TF backend)

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

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

Deep learning codes and projects using Python

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

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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Sentiment Analysis with LSTMs in Tensorflow

This toolbox is support material for the book on CNN (http://www.convolution.network).

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The Official Deep Learning Framework for Route-based Place Recognition

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Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

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Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

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

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

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)

Datasets, tools, and benchmarks for representation learning of code.

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

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

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

Deep learning driven jazz generation using Keras & Theano!

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Multiple implementations for abstractive text summurization , using google colab

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

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A cute multi-layer LSTM that can perform like a human 🎶

Stock Price Prediction using Machine Learning Techniques

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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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.

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Neural machine translator for English2German translation.

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Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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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

Natural Language Processing with TensorFlow, published by Packt

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Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)