Name: Donghu Guo
Type: User
Company: Imperial College London
Bio: Hi, my interests vary from applied machine learning, generative AI models, high-performance computing, data science, etc, particularly using Python and C++.
Location: London
Donghu Guo's Projects
An adversarial autoencoder implementation in pytorch
Software for 'Controlling ventilation in buildings using Adversarial Neural Networks to produce comfortable healthy environments that are energy efficient'
[CVPR2020] Adversarial Latent Autoencoders
Implementation of Convolutional LSTM in PyTorch.
Repo for my MSc thesis on autencoder compression methods, domain decomposition, and adversarial prediction methods
starter from "How to Train a GAN?" at NIPS2016
Curated list of awesome GAN applications and demo
Re-implementation of Hamiltonian Generative Networks paper
The Unified Machine Learning Framework
High-Resolution Image Synthesis with Latent Diffusion Models
Official PyTorch implementation of the paper: Flow Matching in Latent Space
Linear System Solvers C++ Development Project
Mini Flask 8 Cloud System for Tide gauge data processing
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Vector Quantized VAEs - PyTorch Implementation
QLoRA: Efficient Finetuning of Quantized LLMs
Taming Transformers for High-Resolution Image Synthesis
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Research Framework for easy and efficient training of GANs based on Pytorch