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randombalanceboost

Implementation of Random Balance Algorithm

ranking-online-reviews-on-e-commerce-websites

Ranking the online reviews about products on e-commerce websites. The algorithm looked at Grammar Analysis, Sentiment Analysis, Credibility Analysis, Relevance Analysis, Authenticity Analysis and the age to compute a cumulative weight for each review. This score can be used to display relevant reviews to a user browsing the product

re-implementation-of-convolutional-recurrent-neural-network-for-sequence-text-recognition

Re-Implementation of Convolutional Recurrent Neural Network (CRNN) for Sequence Text Recognition in pytorch

realtime-eeg-based-emotion-recognition

Realtime emotion recognition from EEG data.

recommendersystem

Recommendation of articles using content-, collaborative, and hybrid recommender systems

regression_forest

Random regression forests for audio event detection

repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

research

Motor Imagery Classification based on EEG at Columbia Medical Center

resnet-layers-visualization

Trains a ResNet on the CIFAR10 dataset - Visualizing Intermediate Layer Activations

rvnn-and-cvnn

Real valued neural networks (RVNN) and complex valued neural networks (CVNN) (Akira Hirose, 2012).

satellite-crosswalk-classification

Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification

sdnn_python

segdgm_cnn

Segment Deep Gray Matter on QSM images using 3D CNN

sentence-summarization-using-lstms

Keras implementation of bi-LSTMs for sentence summarization. Obtained better marginally better results than a work by Google on same topic. CS 726 IIT Bombay project

sentiment-analysis-twitter

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

sentiment_analysis_deep_models

LSTM, CNN, CNNLSTM, BiLSTM, MLP

sentiment_deep_or_classical

Deep learning vs classical methods for Turkish sentiment analysis

sentiment_prediction

A sentiment analysis example with LSTM and Vader polarity score ensemble modeling

sentimentanalysis_cnn_rnn

An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. First, it imports the IMDB movie set, then uses a Convolutional Neural Network (CNN) to extract out invariant features detailing a good or bad movie review. Finally, it passes it through a recursive neural network (RNN) using LSTMs to learn the state transitions of the invariant features.

seqsleepnet

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

seriesnet

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

shounak-d.github.io

sign-language-recognition-from-hand-gestures-using-capsule-networks

Sign Language Recognition from Hand Gestures using Capsule Networks

signature_recognition

Capsule network to detect the authentication of a signature

simplecvnn

A simple implementation of a complex valued neural network.

sleep_staging_shhs

Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"

slimming

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

sparse-evolutionary-artificial-neural-networks

sparse neural networks before training, sparse evolutionary artificial neural networks, scalable deep learning, very high dimensional data, complex networks

spatio-temporal-ensemble-deep-learning

Ensemble of deep learning models using Spatio-temporal patterns in data

spiking-cnn

Spiking Convolutional Neural Networks