Anthony Bao's repositories
boostedhiggs
NanoAOD boosted higgs analysis package
density-estimation
Benchmarking generative models for density estimation, and also exploring performance on OOD data and real-world high-dimensional datasets. Particular focus on how to recover good density estimates from diffusion models
SparseEventID
SparseEventID for DUNE-like Events
BNAF
Pytorch implementation of Block Neural Autoregressive Flow
Conditional_Diffusion_MNIST
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
cphy
Class materials for computational physics course
DynamicDPI
Reconstructing video of quickly evolving sources, using Deep Probabilistic Imaging (DPI) in message passing
eht-imaging
Imaging, analysis, and simulation software for radio interferometry
ffjord
code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
graph_nets
Build Graph Nets in Tensorflow
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
manifold-flow
Manifold-learning flows (ℳ-flows)
mine-pytorch
Mutual Information Neural Estimation in Pytorch
neuraloperator
Learning in infinite dimension with neural operators.
pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
sdl_ai_workshop
The ALCF hosts a regular simulation, data, and learning workshop to help users scale their data science workflows. This workshop agenda repo focuses on AI capabilities at scale.
SparseConvNet
Submanifold sparse convolutional networks
stable-diffusion
A latent text-to-image diffusion model
tiny-diffusion
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.