ozansener

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

GAN

Collection of GAN models in Pytorch

domain_transduction

Unsupervised Domain Adaptation by Transduction

bib

OpenNMT-py

Open-Source Neural Machine Translation in PyTorch http://opennmt.net/

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

robowatch

Wathch 'Em All

tf_base

Base Class for Tensorflow

VideoSegmentationBiExp

3words

active_adaptation

deep-image-prior

Image restoration with neural networks but without learning.

dotfiles

dynfu

DynamicFusion is a dense Simultaneous Localization and Mapping (SLAM) system capable of reconstructing non-rigid deforming scenes.

igt.pth

Implicit Gradient Transport in PyTorch

jekyll-now

Build a Jekyll blog in minutes, without touching the command line.

negative_vision

webpage for negative results in vision workshop

ozansener.github.io

phd_thesis

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

researcher

A jekyll based resume template

Scribble

ScribbleAndroid

sgd_tail_index

The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"

SinkhornAutoDiff

Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

SMTP

Source code for A Stochastic Derivative Free Optimization Method with Momentum (ICLR 2020) and A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control (AAAI 2019)

spectral-density

Hessian spectral density estimation in TF

the-plain

A minimalist Jekyll theme, ideally designed for your personal blog use.

thermal_rgbd

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.