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aae-mnist-demo

A demo showing results of the adversarial autoencoder algorithm trained on MNIST images.

acai-berry

Tensorflow implementation of Adversarially Constrained Autoencoder Interpolation

adversarial-latents

Testing proof-of-concept for adversarial latent idea

adversarialautoencoder

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).

ai-art

ai-literacy

Website for AI Literacy stuff

apple-neuralhash-attack

Demonstrates iterative FGSM on Apple's NeuralHash model.

artificial-01-cyan-collection

Creator script for CYAN COLLECTION

artificial-02-aquarium

Creator script for AQUARIUM

artificial-main

Homepage for the (art)ificial project.

att-dependency-parsing

Using attention mechanism for dependency parsing

attention-primer

A demonstration of the attention mechanism with some toy experiments and explanations.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

blog

Some notes on things I find interesting and important.

booth-simei

Part of an assignment on the Booth Survey

bootstrapping-explorable

A submission for the CS109 contest!

boundary-attack

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).

captum

Model interpretability and understanding for PyTorch

churn_prediction

Next-generation demo project

claptrap

A repository for work related to OpenAI's Requests for Research and Gym.

compute-your-own-neuralhash

Simple demo to compute your own NeuralHash on-device.

cond-shift-neurons

Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)

cs168

cs236g-fonts

Final project for CS236G Winter 2021

deep-learning-book-notes

Notes on Deep Learning textbook by Ian Goodfellow, Yoshua Bengio and Aaron Courville

deeplearning-papernotes

Notes and ideas from interesting Deep Learning papers, inspired by Denny Britz's https://github.com/dennybritz/deeplearning-papernotes

demo

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

distill-adversarial

Working draft reviewing adversarial examples, to be submitted to Distill for consideration

distill-attention

Working draft reviewing attention, to be submitted to Distill for consideration