PyTorch-BayesianCNN

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.

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

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

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

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

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

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and ?ukasz Kaiser offered by deeplearning.ai