An implmentation of the AWD-LSTM in PyTorch
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Updated
Feb 27, 2019 - Jupyter Notebook
An implmentation of the AWD-LSTM in PyTorch
The Reinforcement-Learning-Related Papers of ICLR 2019
Python package for Arabic natural language processing
A TensorFlow implementation of "Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory" (published in CIKM2017).
VOGUE: Variable Order HMM with Duration
Human Activity Recognition using Deep Learning on Spatio-Temporal Graphs
Generate music with LSTM model
Sequence classification and generation using LSTMs and RNNs
Deep, sequential, transductive divergence metric and domain adaptation for time-series classifiers
TinyML stuff done on my Arduino Nano 33 BLE Sense
Implementation of Smith-Waterman local alignment model- find closest local alignments in two given amino acid sequences. BLOSUM was used as the scoring matrix.
Multiple EM for Motif Elicitation for discovering motifs in a group of related DNA or protein sequences.
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
Computer vision tools for analyzing behavioral data, including complex event detection in videos.
Sequential model for polyphonic music
Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.
The course studies fundamentals of distributed machine learning algorithms and the fundamentals of deep learning. We will cover the basics of machine learning and introduce techniques and systems that enable machine learning algorithms to be efficiently parallelized.
Sentiment analysis performed using a pre-trained BERT model on Mac Miller's complete discography.
A Generative Model for Audio in the Frequency Domain
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