Materials for GWU DNSC 6279 and DNSC 6290.

Visualisation tool for CNNs in pytorch

Bonus materials, exercises, and example projects for our Python tutorials

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

CardIO is a library for data science research of heart signals

fastai V2 implementation of Timeseries classification papers.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

Visualising LIDAR data from KITTI dataset.

A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.

Oxford Deep NLP 2017 course - Practical 1: word2vec

Learn Python, Easy to learn, Awesome

Tools for using a variational auto-encoder for latent image encoding and generation.

Notes and Summaries on ML-related Research Papers (with optional implementations)

PyTorch Implementation of Deformable Convolution

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Unsupervised clustering with (Gaussian mixture) VAEs