Kaggle-Autism

100 Days of ML Coding

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

?️ Open Source Audio Matching and Mastering

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Text Classification Algorithms: A Survey

General Assembly's 2015 Data Science course in Washington, DC

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Real-time audio visualizations (spectrum, spectrogram, etc.)

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.