hmdolatabadi

hmdolatabadi's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.6k1.7k45.4k22.2k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.8k26847934

• DmitryUlyanov/deep-image-prior

  Image restoration with neural networks but without learning.

  Language:Jupyter Notebook7.8k224981.4k

• jcjohnson/pytorch-examples

  Simple examples to introduce PyTorch

  Language:Python4.7k14429926

• mseitzer/pytorch-fid

  Compute FID scores with PyTorch.

  Language:Python3.3k1586505

• LiyuanLucasLiu/RAdam

  On the Variance of the Adaptive Learning Rate and Beyond

  Language:Python2.5k5849333

• sthalles/SimCLR

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

  Language:Jupyter Notebook2.2k2058460

• akamaster/pytorch_resnet_cifar10

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

  Language:Python1.2k534333

• bioinf-jku/TTUR

  Two time-scale update rule for training GANs

  Language:Jupyter Notebook8542337174

• amirgholami/PyHessian

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

  Language:Jupyter Notebook6781418118

• kamenbliznashki/normalizing_flows

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

  Language:Python6001615101

• google-deepmind/distrax

  Language:Python531184532

• EmilienDupont/augmented-neural-odes

  Pytorch implementation of Augmented Neural ODEs :sunflower:

  Language:Jupyter Notebook527191688

• tolstikhin/wae

  Wasserstein Auto-Encoders

  Language:Python506191390

• THUYimingLi/BackdoorBox

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

  Language:Python43771870

• locuslab/fast_adversarial

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

  Language:Python425122593

• wgrathwohl/JEM

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

  Language:Python415151163

• fregu856/papers

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

  40138154

• didriknielsen/survae_flows

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

  Language:Python283281834

• alpc91/NICE-GAN-pytorch

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

  Language:Python23462841

• ex4sperans/variational-inference-with-normalizing-flows

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

  Language:Python2247440

• riannevdberg/sylvester-flows

  Language:Python1777632

• nicola-decao/BNAF

  Pytorch implementation of Block Neural Autoregressive Flow

  Language:Python1759333

• aks2203/poisoning-benchmark

  A unified benchmark problem for data poisoning attacks

  Language:Python14871121

• abdulfatir/normalizing-flows

  Understanding normalizing flows

  Language:Jupyter Notebook13111220

• Information-Fusion-Lab-Umass/NuX

  Normalizing Flows using JAX

  Language:Python82934

• CW-Huang/CP-Flow

  Convex potential flows

  Language:Python785018

• RobertTLange/code-and-blog

  Some small scale experiments for my blog posts 📝

  Language:Jupyter Notebook782410

• jason71995/Keras_ODENet

  Implementation of (2018) Neural Ordinary Differential Equations on Keras

  Language:Python645618

• siddsax/Normalizing_Flows

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

  Language:Python14314