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Name: SADAF GULSHAD
Type: User
Bio: Computer Vision Researcher at the University of Amsterdam
Name: SADAF GULSHAD
Type: User
Bio: Computer Vision Researcher at the University of Amsterdam
Distributed Asynchronous Hyperparameter Optimization in Python
🖼️ PyTorch implementation of "Learning Fine-grained Image Similarity with Deep Ranking" (arXiv:1404.4661)
Open Source Differentiable Computer Vision Library for PyTorch
The LaTeX beamerposter package
Tensorflow code for our paper Learning to reproduce stochastic time series using stochastic LSTM
Tools for generating mini-ImageNet dataset and processing batches
Companion webpage to the book "Mathematics For Machine Learning"
Multi-label Classification using PyTorch on the CelebA dataset.
Resources on how to use the GPU clusters
OpenCV implementation of Torchvision's image augmentations
Poincaré Embeddings for Learning Hierarchical Representations
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch library for adversarial attack and training
Pytorch implementation of convolutional neural network visualization techniques
Some custom dataset examples for PyTorch
PyTorch implementations for "Generating Visual Explanations" (GVE) and "Long-term Recurrent Convolutional Networks" (LRCN)
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
PyTorch sampler that outputs roughly balanced batches with support for multilabel datasets
A PyTorch baseline attack example for the NIPS 2017 adversarial competition
Vision Transformer (ViT) in PyTorch
Rob-GAN: Generator, Discriminator and Adversarial Attacker
Code repository for the paper "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware"
Physical adversarial attack for fooling the Faster R-CNN object detector
Corruption and Perturbation Robustness (ICLR 2019)
Code for Semantic Adversarial Attacks
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.