- ðģ Currently in IST Austria (Vienna), Tim Vogels group
- ðŠī MSc in Data Science (Skoltech, Moscow)
- ðą BSc in Applied Mathematics and Physics (MIPT, Moscow)
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Example of "biological" learning for MNIST
We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.
Investigate short-term CA1 dynamics in mice freely exploring novel environment
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Partial reproduction of the results from the paper https://arxiv.org/pdf/1804.00921.pdf and experiments with Pix2Pix fashion generation
Disentangling Multiple Conditional Inputs in GANs
Dynamic texture synthesis using CNN
Project written as part of my Master Thesis: Implementation and Evaluation of Synthesis Methods for Image Retrieval.
CNN for Focal Cortical Dysplasia segmentation
Python code to create 'stability-optimised circuits' and code to recreate the main results of Figure 1 of our paper 'Motor primitives in space and time via targeted gain modulation in cortical networks'.
Code for "Absence of enterotypes in the human gut microbiomes reanalyzed with non-linear dimensionality reduction method" paper
Machine Learning course project, Skoltech 2019
This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!
Convolutional Neural Network for 3D meshes in PyTorch
Code to train a RNN for speed transition in a gain modulation model
Experiments from "The Mechanics of n-Player Differentiable Games" and beyond
The repository for Skolech NLA2021
Repository with HW for the course "Optimization Methods" in Skoltech, 2019
A lightweight and flexible framework for Hebbian learning in PyTorch.
Deep Learning course at Skoltech
Microbiome cluster analyses and low-dimensional representation
This is an unofficial LaTeX template for MSc thesis in a Skoltech university.
Code for the paper "Two-Stream Convolutional Networks for Dynamic Texture Synthesis". Presented at CVPR '18.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
ð 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. ððð
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 âĪïļ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.