Code, documentation, and tutorial for the DGD model trained on bulk RNA-Seq data.
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Updated
Jun 23, 2024 - Python
Code, documentation, and tutorial for the DGD model trained on bulk RNA-Seq data.
List of molecular design using Generative AI and Deep Learning
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.
Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)
📖 A curated list of resources dedicated to avatar.
Notebooks for the Practicals at the Deep Learning Indaba 2022.
PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration network.
This is the official implementation of RL-Chord (TNNLS).
Awesome De novo drugs design papers
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.
Deep Generative Models with clean and well-annotated PyTorch re-implementation
Pytorch implementation of WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adversarial Network.
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, CVPR2022
Mini-project for my CST Part III Representation Learning on Graphs and Networks (L45) module
Generative Autoregressive, Normalized Flows, VAEs, Score-based models (GANVAS)
Unofficial PyTorch implementation of IODINE https://arxiv.org/abs/1903.00450
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