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Name: Lim Swee Kiat
Type: User
Company: Stanford University
Twitter: sweekiat_lim
Location: California, US
Name: Lim Swee Kiat
Type: User
Company: Stanford University
Twitter: sweekiat_lim
Location: California, US
A demo showing results of the adversarial autoencoder algorithm trained on MNIST images.
Tensorflow implementation of Adversarially Constrained Autoencoder Interpolation
Testing proof-of-concept for adversarial latent idea
Replicates Adversarial Autoencoder architecture from [Makhzani, Alireza, et al. "Adversarial autoencoders." arXiv preprint arXiv:1511.05644 (2015)](https://arxiv.org/abs/1511.05644). The code is adapted from Naresh's implementation [here](https://github.com/Naresh1318/Adversarial_Autoencoder).
Website for AI Literacy stuff
Demonstrates iterative FGSM on Apple's NeuralHash model.
An open-source nuclear reactor analysis automation framework that helps design teams increase efficiency and quality
Creator script for CYAN COLLECTION
Creator script for AQUARIUM
Homepage for the (art)ificial project.
Using attention mechanism for dependency parsing
A demonstration of the attention mechanism with some toy experiments and explanations.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Some notes on things I find interesting and important.
Part of an assignment on the Booth Survey
A submission for the CS109 contest!
Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).
Model interpretability and understanding for PyTorch
Next-generation demo project
A repository for work related to OpenAI's Requests for Research and Gym.
Simple demo to compute your own NeuralHash on-device.
Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)
Final project for CS236G Winter 2021
Notes on Deep Learning textbook by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Notes and ideas from interesting Deep Learning papers, inspired by Denny Britz's https://github.com/dennybritz/deeplearning-papernotes
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Working draft reviewing adversarial examples, to be submitted to Distill for consideration
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.