Alexey Ershov's repositories
cuda-flow3d
3D Optical flow using NVIDIA CUDA
books
Best books on Computational Sciences
course-v3
The 3rd edition of course.fast.ai
deeplearning-models
A collection of various deep learning architectures, models, and tips
DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
DRIT
Learning diverse image-to-image translation from unpaired data
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
FastFCN
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
flatfield
Adaptive Flat-Field Correction
GenRe-ShapeHD
Code and data release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)
matrix
Generic multi-dimensional Matrix in C++ 11/14
MCAD
OpenSCAD Parametric CAD Library (LGPL 2.1)
orrb
Code for the paper "OpenAI Remote Rendering Backend"
PhD-Thesis
My PhD thesis: Automated Analysis of Time-resolved X-ray Data using Optical Flow Methods
pix2pix
Image-to-image translation with conditional adversarial nets
PS-FCN
Learning Based Calibrated Photometric Stereo for Non-Lambertian Surface (ECCV 2018)
rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
slimmable_networks
Slimmable Networks, ICLR 2019, and ICCV 2019
Synthetic2Realistic
ECCV 2018 "T2Net: Synthetic-to-Realistic Translation for Depth Estimation Tasks"
Texture-Synthesis-Using-Convolutional-Neural-Networks
Tensorflow implementation of paper - "Texture Synthesis Using Convolutional Neural Networks"
UNetPlusPlus
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
vid2vid
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.