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Name: Alexey Ershov
Type: User
Company: KIT
Bio: Computer Vision & Deep Learning
Twitter: axershov
Location: Karlsruhe, Germany
Name: Alexey Ershov
Type: User
Company: KIT
Bio: Computer Vision & Deep Learning
Twitter: axershov
Location: Karlsruhe, Germany
Optical flow computation using GPU processing with OpenCL
ImageJ Macros for simple batch processing
Experiments with Julia programming language
A collection of infrastructure and tools for research in neural network interpretability.
matplotlib: plotting with Python
Generic multi-dimensional Matrix in C++ 11/14
OpenSCAD Parametric CAD Library (LGPL 2.1)
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
This is the implementation of Noise2Void training.
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Code for the paper "OpenAI Remote Rendering Backend"
Benchmarking of optical flow methods on X-ray data
My PhD thesis: Automated Analysis of Time-resolved X-ray Data using Optical Flow Methods
Image-to-image translation with conditional adversarial nets
Learning Based Calibrated Photometric Stereo for Non-Lambertian Surface (ECCV 2018)
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
3D U-Net model for volumetric semantic segmentation written in pytorch
a reimplementation of PWC-Net in PyTorch that matches the official Caffe version
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
Segmentation models with pretrained backbones. PyTorch.
Jupyter notebooks for learning how to use SimpleITK
Slimmable Networks, ICLR 2019, and ICCV 2019
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
Spray Lab: tools for spray analysis, visualization and processing
ECCV 2018 "T2Net: Synthetic-to-Realistic Translation for Depth Estimation Tasks"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.