Pinned Repositories
active_learning_coreset
Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
bib
domain_transduction
Unsupervised Domain Adaptation by Transduction
GAN
Collection of GAN models in Pytorch
GMM-with-Eigen
Gaussian Mixture Model Implementation using Eigen Library
ICCV2015
Latex source for the ICCV2015 Paper Unsupervised Semantic Parsing of Video Collections
RecipeWatch
TLSC
Classify language of the tweets
ULogger
Simple Asynchronous Multi-Threaded Logging Utility
ozansener's Repositories
ozansener/active_learning_coreset
Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
ozansener/GAN
Collection of GAN models in Pytorch
ozansener/domain_transduction
Unsupervised Domain Adaptation by Transduction
ozansener/bib
ozansener/OpenNMT-py
Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
ozansener/pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
ozansener/robowatch
Wathch 'Em All
ozansener/tf_base
Base Class for Tensorflow
ozansener/VideoSegmentationBiExp
ozansener/3words
ozansener/active_adaptation
ozansener/deep-image-prior
Image restoration with neural networks but without learning.
ozansener/dotfiles
ozansener/dynfu
DynamicFusion is a dense Simultaneous Localization and Mapping (SLAM) system capable of reconstructing non-rigid deforming scenes.
ozansener/igt.pth
Implicit Gradient Transport in PyTorch
ozansener/jekyll-now
Build a Jekyll blog in minutes, without touching the command line.
ozansener/negative_vision
webpage for negative results in vision workshop
ozansener/ozansener.github.io
ozansener/phd_thesis
ozansener/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
ozansener/researcher
A jekyll based resume template
ozansener/Scribble
ozansener/ScribbleAndroid
ozansener/sgd_tail_index
The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
ozansener/SinkhornAutoDiff
Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
ozansener/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)
ozansener/spectral-density
Hessian spectral density estimation in TF
ozansener/the-plain
A minimalist Jekyll theme, ideally designed for your personal blog use.
ozansener/thermal_rgbd
ozansener/wilds
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.