A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

✭ 641

python gan streaming lstm generative-adversarial-network time-series rnn timeseries anomaly-detection autoencoder interpretability ensemble-learning

Telemanom

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.

✭ 589

jupyter-notebook deep-learning tensorflow keras lstm time-series rnn anomaly-detection

Multi Class Text Classification Cnn Rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

✭ 570

python tensorflow cnn lstm rnn text-classification kaggle embeddings

How To Learn Deep Learning

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

✭ 544

deep-learning machine-learning cnn rnn

Video Classification

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

✭ 543

jupyter-notebook cnn lstm rnn transfer-learning resnet action-recognition pytorch-tutorial

Deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

✭ 6,783

Jupyter Notebook python matlab deep-learning machine-learning pytorch tensorflow cnn gan deeplearning rnn mxnet kaggle machinelearning gcn

Headlines

Automatically generate headlines to short articles

✭ 516

jupyter-notebook nlp keras rnn summarization generation

Indrnn

TensorFlow implementation of Independently Recurrent Neural Networks

✭ 511

python tensorflow rnn

Mozi

此项目致力于构建一套最基础，最精简，可维护的react-native项目，支持ios，android 🌹

✭ 501

javascript es6 react react-native reactjs eslint rnn react-redux react-navigation react-native-app

Rgan

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

✭ 480

python gan time-series paper rnn mnist medical arxiv

Srnn

sliced-rnn

✭ 462

python deep-learning keras rnn keras-tensorflow

Tensorflow Char Rnn

Char-RNN implemented using TensorFlow.

✭ 429

python tensorflow rnn recurrent-neural-networks

Tensorflow Tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

✭ 4,122

python machine-learning tensorflow tutorial neural-network cnn gan classification generative-adversarial-network rnn regression tensorflow-tutorials autoencoder dqn deep-q-network dropout

Tsai

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

✭ 407

jupyter-notebook deep-learning pytorch cnn time-series transformer rnn timeseries time-series-analysis sequence

Wavetorch

🌊 Numerically solving and backpropagating through the wave equation

✭ 387

python pytorch time-series rnn

Rnn From Scratch

Implementing Recurrent Neural Network from Scratch

✭ 377

python tensorflow neural-network rnn

Rmdl

RMDL: Random Multimodel Deep Learning for Classification

✭ 375

python deep-learning machine-learning tensorflow keras deep-neural-networks convolutional-neural-networks cnn classification image-classification rnn text-classification data-mining recurrent-neural-networks text-mining information-retrieval dnn ensemble-learning

Easy Deep Learning With Keras

Keras tutorial for beginners (using TF backend)

✭ 367

jupyter-notebook deep-learning neural-network deep-neural-networks convolutional-neural-networks neural-networks lstm rnn convolutional-networks gru

Text summurization abstractive methods

Multiple implementations for abstractive text summurization , using google colab

✭ 359

jupyter-notebook deep-learning machine-learning tensorflow nlp artificial-intelligence reinforcement-learning ai deeplearning rnn word2vec seq2seq machinelearning encoder-decoder policy-gradient text-summarization

Fast Pytorch

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

✭ 346

python jupyter-notebook deep-learning machine-learning pytorch computer-vision cnn rnn transfer-learning pytorch-tutorial

Thesemicolon

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

✭ 345

jupyter-notebook deep-learning machine-learning tutorial data-science keras neural-network convolutional-neural-networks lstm numpy scikit-learn rnn sentiment-analysis matplotlib cnn-keras gradient-descent

Deeplearningsourceseparation

Deep Recurrent Neural Networks for Source Separation

✭ 339

matlab deep-learning rnn

Text Classification Cnn Rnn

CNN-RNN中文文本分类，基于TensorFlow

✭ 3,613

python shell tensorflow cnn classification chinese rnn text-classification tensorboard

Basicocr

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

✭ 336

python cnn gan lstm ocr rnn

Tensorflow poems

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

✭ 3,429

python tensorflow lstm rnn poetry

R Net

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

✭ 321

python deep-learning tensorflow rnn qa squad

Sars tutorial

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

✭ 320

python jupyter-notebook machine-learning tutorial rnn sequence

Neural Symbolic Machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

✭ 305

python deep-learning tensorflow reinforcement-learning deep-reinforcement-learning rnn

Unet Zoo

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

✭ 302

python deep-learning pytorch cnn lstm rnn unet

Bitcoinforecast

Predict bitcoin price with deep learning

✭ 285

python deep-learning machine-learning keras bitcoin trading rnn

Mydeeplearning

A deep learning library to provide algs in pure Numpy or Tensorflow.

✭ 281

python deep-learning cnn gan rnn q-learning

Rnnsharp

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.

✭ 277

deep-learning machine-learning nlp dotnet lstm rnn recurrent-neural-networks crf sequence-labeling

Musicgenerator

Experiment diverse Deep learning models for music generation with TensorFlow

✭ 269

python deep-learning tensorflow rnn

Deeplearning.ai Assignments

✭ 268

jupyter-notebook convolutional-neural-networks neural-networks deeplearning lstm rnn sequence-to-sequence

Lstm Human Activity Recognition

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

✭ 2,943

Jupyter Notebook python deep-learning machine-learning tensorflow neural-network lstm rnn recurrent-neural-networks activity-recognition human-activity-recognition

Handwritingrecognitionsystem

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

✭ 262

python deep-learning machine-learning tensorflow cnn rnn

Pytorch Dnc

Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

✭ 264

python pytorch rnn

deep-learning-coursera-complete

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses