Elizaveta (elimohl)

elimohl

Geek Repo

Github PK Tool:Github PK Tool


Organizations
advimman

Elizaveta's starred repositories

dickrnn.github.io

a recurrent network trained to draw dicks

Language:JavaScriptStargazers:605Issues:0Issues:0

stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

Language:PythonLicense:MITStargazers:2668Issues:0Issues:0

BMSG-GAN

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

Language:PythonLicense:MITStargazers:629Issues:0Issues:0

graphics

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

Language:PythonLicense:Apache-2.0Stargazers:2741Issues:0Issues:0

lucid

A collection of infrastructure and tools for research in neural network interpretability.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:4615Issues:0Issues:0

reveal.js

The HTML Presentation Framework

Language:JavaScriptLicense:MITStargazers:67054Issues:0Issues:0

style-based-gan-pytorch

Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

Language:PythonLicense:NOASSERTIONStargazers:1086Issues:0Issues:0

catalyst

Accelerated deep learning R&D

Language:PythonLicense:Apache-2.0Stargazers:3235Issues:0Issues:0

papis

Powerful and highly extensible command-line based document and bibliography manager.

Language:HTMLLicense:GPL-3.0Stargazers:1340Issues:0Issues:0

pillow-simd

The friendly PIL fork

Language:PythonLicense:NOASSERTIONStargazers:2098Issues:0Issues:0
Language:PythonLicense:MITStargazers:14Issues:0Issues:0

pytorch_GAN_zoo

A mix of GAN implementations including progressive growing

Language:PythonLicense:BSD-3-ClauseStargazers:1601Issues:0Issues:0

unsupervised-learning-intrinsic-images

Implementation of the intrinsic image decomposition algorithm described in "Learning Intrinsic Image Decomposition from Watching the World, Z. Li and N. Snavely, CVPR 2018"

Language:OpenEdge ABLLicense:MITStargazers:105Issues:0Issues:0

teach_yourself_demoscene_in_14_days

A guide to learn and become active in the demoscene within a couple of weeks

License:MITStargazers:2032Issues:0Issues:0

DeepGuidedFilter

Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018

Language:PythonStargazers:826Issues:0Issues:0

nla2018

NLA 2018 Skoltech course

Language:Jupyter NotebookStargazers:50Issues:0Issues:0

dashcam-illumination-estimation

A re-implemented project of "Deep Outdoor Illumination Estimation [Hold-Geoffroy et al. CVPR 2017]"

Language:PythonStargazers:38Issues:0Issues:0

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Language:PythonLicense:NOASSERTIONStargazers:24221Issues:0Issues:0

SODsurvey

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

Stargazers:382Issues:0Issues:0

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

Language:PythonLicense:MITStargazers:4714Issues:0Issues:0

dear-github

:incoming_envelope: An open letter to GitHub from the maintainers of open source projects

Stargazers:5150Issues:0Issues:0

evolution-strategies-starter

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

Language:PythonLicense:MITStargazers:1543Issues:0Issues:0

box-convolutions

PyTorch code for the "Deep Neural Networks with Box Convolutions" paper

Language:C++License:Apache-2.0Stargazers:509Issues:0Issues:0

setka

Utilities for Neural Network training

Language:PythonLicense:MITStargazers:19Issues:0Issues:0

Thinkpadthinkpad

Гайд по покупке Б/У ноутов ThinkPad.

Stargazers:448Issues:0Issues:0

vim-colorschemes

one colorscheme pack to rule them all!

Language:Vim scriptStargazers:3405Issues:0Issues:0

mls-protocol

MLS protocol

Language:PythonLicense:NOASSERTIONStargazers:228Issues:0Issues:0

tridactyl

A Vim-like interface for Firefox, inspired by Vimperator/Pentadactyl.

Language:TypeScriptLicense:NOASSERTIONStargazers:4965Issues:0Issues:0

hatexmpp3

XMPP client with synthetic filesystem (9P) and (optional) graphical (GTK3) interfaces

Language:HaskellLicense:NOASSERTIONStargazers:8Issues:0Issues:0

tdl

Course "Theories of Deep Learning"

Language:Jupyter NotebookStargazers:195Issues:0Issues:0