aaronmkts

aaronmkts's Stars

• nrflynn2/ml-drug-discovery

  The official repository for the book "Machine Learning for Drug Discovery" (Manning Publications)

  Language:Jupyter Notebook202

• ptitbroussou/HW_QCNN

  Simulation for Hamming Weight Preserving QCNN

  Language:Python4

• jgraving/selfsne

  Self-Supervised Noise Embeddings (Self-SNE)

  Language:Jupyter Notebook15813

• jmtomczak/intro_dgm

  "Deep Generative Modeling": Introductory Examples

  Language:Jupyter Notebook1.1k176

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.8k164

• magic3007/MolGAN-pytorch

  🦑 Pytorch implementation of MolGAN: An implicit generative model for small molecular graphs.

  Language:Python51

• reshalfahsi/molecule-generation-drug-discovery

  Small Molecular Graph Generation for Drug Discovery

  Language:Jupyter Notebook6

• arturml/pytorch-wgan-gp

  A pytorch implementation of WGAN-GP

  Language:Jupyter Notebook246

• YixinChen-AI/CVAE-GAN-zoos-PyTorch-Beginner

  For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

  Language:Python718109

• BKHMSI/MNIST-Latent-Interpolation

  Count{down, up} with MNIST using Latent Interpolation

  Language:Python75

• j3soon/tbparse

  Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow

  Language:Python1823

• Victarry/Image-Generation-models

  Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.

  Language:Python5310

• TerboucheHacene/StyleGAN-pytorch-lightning

  Pytorch Lightning Implementation of StyleGAN

  Language:Python41

• maniraman-periyasamy/gspsa-gradients

  Language:Python1

• maniraman-periyasamy/guided-spsa

  Language:Python1

• QIC-SEU/QASKit

  A Toolkit for Reproducible Study, Application and Verification of Quantum Architecture Search

  Language:Python4

• Aqasch/KANQAS_code

  Code for Kolmogorov-Arnold Network for Quantum Architecture Search i.e., KANQAS

  Language:Python12

• hahajjjun/Quantum-Neural-Architecture-Search

  RL-based Neural Architecture Search for Quantum Neural Networks

  Language:Python2

• PennyLaneAI/pennylane

  PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

  Language:Python2.4k607

• NesyaLab/Quantum-Hybrid-Diffusion-Models

  Language:Python42

• FlorianFuerrutter/genQC

  Generative Quantum Circuits

  Language:Jupyter Notebook279

• Francis-Hsu/QuantGenMdl

  Language:Jupyter Notebook196

• yhlleo/GAN-Metrics

  A collection of metrics for evaluating GAN models.

  Language:Python556

• jasontslxd/PQWGAN

  Code to run and test the PQWGAN framework

  Language:Python124

• seungjunlee96/lightning-generative-models

  PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models

  Language:Python213

• ChristophReich1996/Mode_Collapse

  Mode collapse example of GANs in 2D (PyTorch).

  Language:Python415

• QUARK-framework/QUARK

  Framework for Quantum Computing Application Benchmarking

  Language:Python5120

• SilverEngineered/MosaiQ

  Language:Python61

• atgambardella/pytorch-es

  Evolution Strategies in PyTorch

  Language:Python35137

• Axect/QuantumAlgorithms

  Implementations of Quantum Algorithms

  Language:Jupyter Notebook51