AspirinCode/papers-for-molecular-design-using-DL

List of Molecular and Material design using Generative AI and Deep Learning

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FabianFalck/mfcvae

Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.

Language: Python - Size: 36.9 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 40 - Forks: 8

asarigun/awesome-denovo-papers

Awesome De novo drugs design papers

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bavafaali/Generative-Models

Language: Jupyter Notebook - Size: 3.89 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Jason-cs18/awesome-avatar

📖 A curated list of resources dedicated to avatar.

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MJfadeaway/DAS

DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations

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deep-learning-indaba/indaba-pracs-2022

Notebooks for the Practicals at the Deep Learning Indaba 2022.

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ImanGoudarzvand/MultiSpectral-Diffusion

Official PyTorch implementation of the paper "MultiSpectral diffusion: joint generation of wavelet coefficients for image synthesis and upsampling"

Language: Python - Size: 429 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

generative-ai-sut/generative-ai-sut.github.io

Deep Generative Models Course Page @ Sharif University of Technology

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genai-sut/genai-sut.github.io

Deep Generative Models Course Page @ Sharif University of Technology

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Center-for-Health-Data-Science/bulkDGD

Code, documentation, and tutorials for the DGD model trained on bulk RNA-Seq data.

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tqch/ddpm-torch

Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

Language: Python - Size: 266 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 162 - Forks: 32

VinAIResearch/PCC-pytorch

A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"

Language: Python - Size: 12.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 59 - Forks: 14

michelhilg/data-synthesis

This GitHub repository showcases my bachelor thesis which is focused on exploring the application and comparison of various deep generative models for synthetic image augmentation in manufacturing domain.

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pemami4911/IODINE.pytorch

Unofficial PyTorch implementation of IODINE https://arxiv.org/abs/1903.00450

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tqch/v-diffusion-torch

PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance

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Tayjsl97/RL-Chord

This is the official implementation of RL-Chord (TNNLS).

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tsinghua-fib-lab/DeepMobility

The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration network.

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agnarbjoernstad/DeepLearning

Exercises from IT3030 V20

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zengxianyu/sketchedit

SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, CVPR2022

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probabilisticai/probai-2019

Materials of the Nordic Probabilistic AI School 2019.

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makora9143/pytorch-convcnp

A PyTorch Implementation of Convolutional Conditional Neural Process.

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ameya98/DeepGenerativeModels

PyTorch Implementations of Popular Deep Generative Models.

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MRSAIL-Mini-Robotics-Software-AI-Lab/GANVAS-models

Generative Autoregressive, Normalized Flows, VAEs, Score-based models (GANVAS)

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dadadadawjb/DGMHowTo

Deep Generative Models with clean and well-annotated PyTorch re-implementation

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hamidreza-dastmalchi/WIPA-Face-Super-Resolution

Pytorch implementation of WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adversarial Network.

Language: Python - Size: 989 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 2

probabilisticai/probai-2021

Materials of the Nordic Probabilistic AI School 2021.

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boathit/deepgtt

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

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tqch/VAEGAN

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VictorZXY/expressive-graph-gen

Mini-project for my CST Part III Representation Learning on Graphs and Networks (L45) module

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tqch/Flow-Based-Deep-Generative-Models

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k--chow/NICE-flow-keras

Implementation of NICE (Non-linear Independent Components Estimation) in TF Keras

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Bh4r4t/Sementic-Image-Inpainting

PyTorch implementation of image inpainting technique as proposed in paper "Sementic Image Inpainting with Deep Generative Modes by R.A. Yeh et al."

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YuejiangLIU/pytorch-collaborative-gan-sampling

A basic PyTorch implementation of the Collaborative Sampling in Generative Adversarial Networks

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gtesei/facial_unpaired_i2i_translation_SA_C_CC_GAN

Facial Unpaired Image-to-Image Translation with (Self-Attention) Conditional Cycle-Consistent Generative Adversarial Networks

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