Sequence-to-sequence model with attention using Torch
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Updated
Dec 19, 2016 - Lua
Sequence-to-sequence model with attention using Torch
Version 2.0 of MINESweeper Isochrone fitting code
Torch interface to tensorboard of Tensorflow for powerful visualization and logging.
Generating fake man-pages using recurrent neural networks
Assignments for Stanford CS231n 2019 Spring
Textclassifiers: Collection of Text Classification/Document Classification/Sentence Classification/Sentiment Analysis models for PyTorch
A set of multi-label classification models which are capable of detecting different types of toxicity: toxic, severe_toxic, obscene, threat, insults and identity_hate .
Neural machine translation using encoder decoder architecture with scaled dot product attention
This course will learn about the fundamental of python apply to Machine Learning and Deep Learning .
Developed a Chatbot using Python that holds conversation about world news with a human user by applying Neural conversional model ( Seq2Seq ), which consists of 2 LSTM RNN model. The news data was collected from Reddit.com (r/worldnews). Libraries such as Torch , NumPy and Matplotlib were used.
Tweet text classification with PyTorch 1-D CNN. Inspired by [Fernando Lopez's](https://github.com/FernandoLpz/Text-Classification-CNN-PyTorch) incorrect implementation of "Convolutional Neural Networks for Sentence Classification"
Generation of artificial white blood cell micrographs using Pyhon
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