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Mete Ozay's Projects

hypertools icon hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

imgclsmob icon imgclsmob

Sandbox for training convolutional networks for computer vision

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

julia icon julia

The Julia Language: A fresh approach to technical computing.

kinetics-i3d icon kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

knet.jl icon knet.jl

Koç University deep learning framework.

lapis icon lapis

Codebase for Learnable preconditioning for Image Super-resolution with Disentangled Feature Representations.

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mctorch icon mctorch

A manifold optimization library for deep learning

mdl-sdk icon mdl-sdk

NVIDIA Material Definition Language SDK

meta-blocks icon meta-blocks

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

nntrainer icon nntrainer

NNtrainer is Software Framework for Training Neural Network Models on Devices.

normalization18 icon normalization18

Normalization Methods for Training Deep Neural Networks: Theory and Practice

pvae icon pvae

code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".

pytext icon pytext

A natural language modeling framework based on PyTorch

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

sonnet icon sonnet

TensorFlow-based neural network library

spherical-cnn icon spherical-cnn

Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"

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