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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

store-item-demand-forecasting-challenge

streetview-crosswalk-classification

Automatic Large-Scale Data Acquisition via Crowdsourcing for Crosswalk Classification: A Deep Learning Approach

studybook

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

subspectralnet

SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification, accepted in ICASSP 2019

svm_classification_over_cnn_features

td-lstm

Attention-based Aspect-term Sentiment Analysis implemented by tensorflow.

temporalcnn

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

tensorflow-dnns-for-predicting-dna-transcription-factor-binding

Deep neural networks implemented in TensorFlow & Python for predicting whether transcription factors will bind to given DNA sequences

tensorflow-projects

Small projects in TensorFlow: CNN for Google Quick Draw Game and MNIST; LSTM-RNN, SVM, and the Min-Max-Module for SJTU Emotion EEG classification, etc.

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

text-classification

Text Classification through CNN, RNN & HAN using Keras

text_classification

all kinds of text classificaiton models and more with deep learning

textclassification

Text classification using different neural networks (CNN, LSTM, Bi-LSTM, C-LSTM).

textclassifier

Text classifier for Hierarchical Attention Networks for Document Classification

tf-bi-lstm-attention-sentiment-classification

Train Bi-LSTM with Attention-mechanism on IMDB dataset (binary classification)

tf-rnn-attention

Tensorflow implementation of attention mechanism for text classification tasks.

thesis_capsulenetwork_satelliteimage

Application of Capsule Network for land cover classification in satellite images

time-series-machine-learning

Machine learning models for time series analysis

timeseries

Deep Learning repo for timeseries and sequence data

transfer-learning

Low-data transfer learning using capsule networks.

turkish-movie-review-ranking-and-sentiment-predictions

Movie Review Ranking and Sentiment Predictions (Turkish)

twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

twitter-sentiment-analysis-lstm

Sentiment analysis-Dataset：10000+ Twitters (En) With Keras based on Tensorflow

two-class-weather-classification

CNN was applied on the dataset published in 2014.

two-stage-labeling-for-the-sentiment-orientations

Our algorithm is based a two-stage labeling for the sentiment orientations. A two-level network is accordingly proposed to utilize the two labeled data in the two-stage labeling strategy. Lexical cues (e.g., polar words, POS, conjunction words) are also used in our two-level network with a new encoding strategy. Please refer to our paper at arXiv for details: -hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis.(https://arxiv.org/pdf/1803.07771.pdf)

ucr_time_series_classification_deep_learning_baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification

unsupervised-capsule-network

Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf

vae-tensorflow

Variational Auto-Encoder based on DC-GAN-like architecture