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tutorials

tutorials-1

A series of machine learning tutorials for Torch7

tutorials-2

udacity-path-planning-project

uncertainty_estimation_deep_learning

This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).

uq-course

Introduction to Uncertainty Quantification

variance_reduced_neural_networks

Implementation of SVRG and SAGA optimization algorithms for deep learning topics.

variational-autoencoder

Implementation of a variational Auto-encoder

vcnn_double-bladed

Vectorized implementation of convolutional neural networks (CNN) in Matlab for both visual recognition and image processing.

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

vrp-rl

Reinforcement Learning for Solving the Vehicle Routing Problem

wae-rnf-lm

Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399

wasserstein-notebook

Wasserstein / earth mover's distance visualizations

wassersteingan

word2gauss

Gaussian word embeddings

wormhole

Portable, Scalable and Reliable Distributed Machine Learning, support various platforms including Hadoop YARN, MPI, etc.

xgboost

Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.

zen

Zen aims to provide the largest scale and the most efficient machine learning platform on top of Spark, including but not limited to logistic regression, latent dirichilet allocation, factorization machines and DNN.

zguide

Learning and Using ØMQ

ztorch

Complex number support for Torch