UMASS Boston 2023 CS club Hackathon
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Updated
Sep 25, 2023 - Python
UMASS Boston 2023 CS club Hackathon
This is the official repository of "EDGE-Rec: Efficient and Data-Guided Edge Diffusion for Recommender System Graphs" (GenAIRecP @ KDD 2024)
Implementation of a latent diffusion model to generate satellite views from ground views in the CVPR dataset.
MotionDiffuseDCT: Investigating Dynamical Representations for Human Motion Generation
Generating synthetic Electronic Health Records using continuous-time diffusion models.
[ICCV 2023] The official implementation of paper "DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models"
EPiC Flow Matching Implementation for Generating Jets as Point Clouds (https://arxiv.org/abs/2310.00049)
Mix genshin characters
Code for paper "FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing"
Introductive implementations of diffusion models on 2D Toy datasets and MNIST.
Unofficial Implementation of Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis
Minimal Repo to use the continuous-time Diffusion Policy from BESO
Bachelor semester project@IVRL(EPFL), 2024 Spring
Enhancing Stable Diffusion Composition Power by Adapter Network
A pytorch implementation of "Guided Diffusion from Self-Supervised Diffusion Features"
Segmentation-Guided Diffusion Models for Label-Efficient Fine-Tuning for Remote Sensing Building Segmentation (IEEE BigData Cup 2024)
Code for the control+shift paper, where a method for generating general datasets with a controllable amount of distribution shift was proposed. Presented at the ECCV'24 "Synthetic Data for Computer Vision" workshop.
This repo contains my non-sensitive scripts for my internship at Oxford University Cinial Research Unit (OUCRU). I built a diffusion model using weather time series, graphs and incidence data to forecast dengue fever in Saigon, Vietnam.
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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