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Type: User
Bio: PhD student at Caltech working on deep learning and neuroscience.
Type: User
Bio: PhD student at Caltech working on deep learning and neuroscience.
A Toolbox for Adversarial Robustness Research
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
[NeurIPS 2020]auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Official implementation for Neural networks with recurrent generative feedback (NeurIPS 2020).
Python simulation and hardware library for learning and control
[NeurIPS2019] CORnet: Modeling the Neural Mechanisms of Core Object Recognition
Implementation related to the Deep Complex Networks
Official implementation for FI-ODE: Certified and Robust Forward Invariance in Neural ODEs.
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
Simple, extendable, easy to understand Glow implementation in PyTorch
Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).
Collection of codes to calculate scattering from spheres using the Mie solution
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
Code that'll help you kickstart a personal website that showcases your work as a software developer.
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
Corruption and Perturbation Robustness (ICLR 2019)
Official code for Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion (ICML 2024, Oral).
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Simulate ultrasound modulation of light in scattering media.
Pytorch implementation of Virtual Adversarial Training
A beautiful Jekyll theme for academics
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.