Pinned Repositories
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
datasharing
The Leek group guide to data sharing
deep-dive-in-deep-leaning
Курс для быстрого погружения в мир машинного обучения / Course for fast getting into deep learning
deep-learning-lectures
deep_learning_course
Materials For Deep Learning Course
deep_learning_course_2.0
Репозиторий курса, версия 2
setka
Utilities for Neural Network training
RomanovMikeV's Repositories
RomanovMikeV/deep-learning-lectures
RomanovMikeV/deep_learning_course_2.0
Репозиторий курса, версия 2
RomanovMikeV/setka
Utilities for Neural Network training
RomanovMikeV/deep-dive-in-deep-leaning
Курс для быстрого погружения в мир машинного обучения / Course for fast getting into deep learning
RomanovMikeV/deep_learning_course
Materials For Deep Learning Course
RomanovMikeV/datasharing
The Leek group guide to data sharing
RomanovMikeV/adaptive-softmax
Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)
RomanovMikeV/calculus-slides
RomanovMikeV/cdiscount
RomanovMikeV/databowl2018
RomanovMikeV/datasciencecoursera
RomanovMikeV/deep-learning-presentations
RomanovMikeV/image
An Image toolbox for Torch.
RomanovMikeV/inplace_abn
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
RomanovMikeV/linear-algebra-I-presentations
RomanovMikeV/linear-algebra-II-presentations
RomanovMikeV/lua---nnx
An extension to Torch7's nn package.
RomanovMikeV/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"
RomanovMikeV/mikeromanov.github.io
RomanovMikeV/reshade
A generic post-processing injector for games and video software.
RomanovMikeV/torch7
http://torch.ch