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Name: Mete Ozay
Type: User
Name: Mete Ozay
Type: User
A Python toolbox for gaining geometric insights into high-dimensional data
Sandbox for training convolutional networks for computer vision
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
The Julia Language: A fresh approach to technical computing.
Deep Learning for humans
Keras community contributions
Utilities for working with image data, text data, and sequence data.
Convolutional neural network model for video classification trained on the Kinetics dataset.
Koç University deep learning framework.
Codebase for Learnable preconditioning for Image Super-resolution with Disentangled Feature Representations.
Learning to Learn in TensorFlow
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
A manifold optimization library for deep learning
NVIDIA Material Definition Language SDK
A modular toolbox for meta-learning research with a focus on speed and reproducibility.
Mete Ozay
NNtrainer is Software Framework for Training Neural Network Models on Devices.
A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition
Normalization Methods for Training Deep Neural Networks: Theory and Practice
code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
A natural language modeling framework based on PyTorch
Source code for python.org
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
A mix of GAN implementations including progressive growing
Geometric Deep Learning Extension Library for PyTorch
official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"
TensorFlow-based neural network library
Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.