RomanovMikeV

deep-learning-lectures

deep_learning_course_2.0

Репозиторий курса, версия 2

setka

Utilities for Neural Network training

deep-dive-in-deep-leaning

Курс для быстрого погружения в мир машинного обучения / Course for fast getting into deep learning

deep_learning_course

Materials For Deep Learning Course

datasharing

The Leek group guide to data sharing

adaptive-softmax

Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)

calculus-slides

cdiscount

databowl2018

datasciencecoursera

deep-learning-presentations

image

An Image toolbox for Torch.

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

linear-algebra-I-presentations

linear-algebra-II-presentations

lua---nnx

An extension to Torch7's nn package.

MiDaS

Code for robust monocular depth estimation described in "Lasinger et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer, arXiv:1907.01341"

mikeromanov.github.io

reshade

A generic post-processing injector for games and video software.

torch7

http://torch.ch