Anthony Bao's repositories
chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
howto
How to do various tricky computer things
cphy
Class materials for computational physics course
neuraloperator
Learning in infinite dimension with neural operators.
tiny-diffusion
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
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
Conditional_Diffusion_MNIST
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
stable-diffusion
A latent text-to-image diffusion model
mine-pytorch
Mutual Information Neural Estimation in Pytorch
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
DPI
Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
BNAF
Pytorch implementation of Block Neural Autoregressive Flow
SparseEventID
SparseEventID for DUNE-like Events
SparseConvNet
Submanifold sparse convolutional networks
training
Reference implementations of MLPerf™ training benchmarks
pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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.
pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
boostedhiggs
NanoAOD boosted higgs analysis package
linux
Linux kernel source tree
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Embryos
Embryo Polarization
graph_nets
Build Graph Nets in Tensorflow
weaver
Streamlined neural network training.
manifold-flow
Manifold-learning flows (ℳ-flows)
Point-GNN
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.