Efficient, transparent deep learning in hundreds of lines of code.

📓 Notes for Andrew Ng's courses on deep learning

This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

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

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

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

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

🧠👨‍💻Deep Learning Specialization • Lecture Notes • Lab Assignments

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

Deep learning driven jazz generation using Keras & Theano!

An experimental web text editor that runs a LSTM model while you write to suggest new lines

Nested LSTM Cell

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Online Handwriting Signature Verification using CNN + RNN.

TensorFlow Implementation of TCN (Temporal Convolutional Networks)

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

机器学习、深度学习、NLP实战项目