Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

✭ 34

python tensorflow lstm text-classification sentiment-analysis tensorflow-tutorials tensorflow-examples lstm-neural-networks gru sentiment-classification tensorflow-experiments low-level

Lstmvis

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

✭ 959

jupyter-notebook visualization neural-network lstm recurrent-neural-networks

Rnn Theano

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

✭ 31

python cnn lstm classification rnn theano intent

Qa Rankit

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

✭ 30

jupyter-notebook cnn lstm

Lstm peptides

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

✭ 30

python machine-learning lstm rnn

Simple Chatbot Keras

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras

✭ 30

python keras chatbot lstm lstm-neural-networks

Sudl

light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)

✭ 29

deep-learning lstm gru

Ailearning

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

✭ 32,316

python javascript CSS Jupyter Notebook HTML shell nlp deeplearning lstm scikit-learn rnn regression sklearn svm dnn pca kmeans svd logistic adaboost apriori fp-growth naivebayes mahchine-leaning recommendedsystem

Banglatranslator

Bangla Machine Translator

✭ 21

python tensorflow lstm attention encoder-decoder

Awesome Mad Science

Delightful npm packages that make you say "wow, didn't know that was possible!"

✭ 909

javascript nodejs awesome awesome-list browser npm lstm browserify

Lstm Sentiment Analysis

Sentiment Analysis with LSTMs in Tensorflow

✭ 886

jupyter-notebook tensorflow lstm rnn sentiment-analysis

Pytorch Sublstm

subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks

✭ 15

python neural-network lstm

Neural Image Captioning

Implementation of Neural Image Captioning model using Keras with Theano backend

✭ 12

jupyter-notebook deep-learning keras cnn lstm conference image-captioning vgg16 pydata

Spago

Self-contained Machine Learning and Natural Language Processing library in Go

✭ 854

go deep-learning machine-learning nlp neural-network natural-language-processing artificial-intelligence deeplearning lstm question-answering language-model automatic-differentiation

Re Verb

speaker diarization system using an LSTM

✭ 27

python vue machine-learning docker pytorch redis neural-network express ai lstm ml

Deep Music Genre Classification

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

✭ 23

python deep-learning cnn lstm classification rnn keras-tensorflow music-information-retrieval

Chainer Rnn Ner

Named Entity Recognition with RNN, implemented by Chainer

✭ 19

python lstm recurrent-neural-networks chainer

Multitask Learning Protein Prediction

Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction

✭ 19

python deep-learning tensorflow lstm

Tensorflow Onnx

Convert TensorFlow models to ONNX

✭ 900

jupyter-notebook tensorflow lstm onnx export convert

Music2dance

Generating Dance steps for given music with deep learning

✭ 17

jupyter-notebook deep-learning pytorch tensorflow computer-vision lstm

Tensorflow Tutorial

Some interesting TensorFlow tutorials for beginners.

✭ 893

jupyter-notebook tensorflow cnn lstm tensorflow-tutorials

Deep Learning Time Series

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

✭ 796

python3 jupyter-notebook deep-learning pytorch tensorflow deep-neural-networks lstm time-series recurrent-neural-networks prediction lstm-neural-networks

Python autocomplete

A simple neural network for python autocompletion

✭ 779

python machine-learning lstm autocomplete

Seq2seq Chatbot

Chatbot in 200 lines of code using TensorLayer

✭ 777

python tensorflow nlp bot chat chatbot lstm rnn corpus tensorlayer

Getting Things Done With Pytorch

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.

✭ 738

jupyter-notebook deep-learning machine-learning pytorch computer-vision nlp tutorial object-detection lstm time-series face-detection transformer face-recognition sentiment-analysis yolo transfer-learning anomaly-detection

Lstm Char Cnn Tensorflow

in progress

✭ 737

python tensorflow nlp cnn lstm

Stockpriceprediction

Stock Price Prediction using Machine Learning Techniques

✭ 700

jupyter-notebook machine-learning video lstm analysis rnn supervised-learning forecasting lstm-neural-networks

Text Classification

Implementation of papers for text classification task on DBpedia

✭ 682

python tensorflow cnn lstm text-classification attention

Conv Emotion

This repo contains implementation of different architectures for emotion recognition in conversations.

✭ 646

python pytorch natural-language-processing lstm sentiment-analysis pretrained-models natural-language-understanding dialogue-systems

Ad examples

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

Vad

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

✭ 622

matlab data lstm speech-recognition attention speech dnn

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

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

Attention Networks For Classification

Hierarchical Attention Networks for Document Classification in PyTorch