Hadi Dolatabadi (hmdolatabadi)

hmdolatabadi

Geek Repo

Company:Research Fellow @ UniMelb

Location:Melbourne, Australia.

Home Page:hmdolatabadi.github.io

Twitter:@hmdolatabadi

Github PK Tool:Github PK Tool

Hadi Dolatabadi's starred repositories

BackdoorBox

The open-sourced Python toolbox for backdoor attacks and defenses.

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

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SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

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poisoning-benchmark

A unified benchmark problem for data poisoning attacks

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CP-Flow

Convex potential flows

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fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

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code-and-blog

Some small scale experiments for my blog posts đź“ť

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NuX

Normalizing Flows using JAX

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NICE-GAN-pytorch

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

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survae_flows

Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"

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pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

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JEM

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

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papers

I categorize, annotate and write comments for all research papers I read (410+ papers since 2018).

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pytorch-fid

Compute FID scores with PyTorch.

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TTUR

Two time-scale update rule for training GANs

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pytorch-examples

Simple examples to introduce PyTorch

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deep-image-prior

Image restoration with neural networks but without learning.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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wae

Wasserstein Auto-Encoders

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RAdam

On the Variance of the Adaptive Learning Rate and Beyond

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BNAF

Pytorch implementation of Block Neural Autoregressive Flow

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normalizing-flows

Understanding normalizing flows

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Normalizing_Flows

Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770

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normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

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variational-inference-with-normalizing-flows

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

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augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

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Keras_ODENet

Implementation of (2018) Neural Ordinary Differential Equations on Keras

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