Anthony Bao's repositories

boostedhiggs

NanoAOD boosted higgs analysis package

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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

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Embryos

Embryo Polarization

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SparseEventID

SparseEventID for DUNE-like Events

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weaver

Streamlined neural network training.

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BNAF

Pytorch implementation of Block Neural Autoregressive Flow

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Conditional_Diffusion_MNIST

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

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cphy

Class materials for computational physics course

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DPI

Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging

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DynamicDPI

Reconstructing video of quickly evolving sources, using Deep Probabilistic Imaging (DPI) in message passing

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eht-imaging

Imaging, analysis, and simulation software for radio interferometry

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ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

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graph_nets

Build Graph Nets in Tensorflow

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introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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linux

Linux kernel source tree

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manifold-flow

Manifold-learning flows (ℳ-flows)

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mine-pytorch

Mutual Information Neural Estimation in Pytorch

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neuraloperator

Learning in infinite dimension with neural operators.

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Point-GNN

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.

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pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

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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.

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SparseConvNet

Submanifold sparse convolutional networks

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stable-diffusion

A latent text-to-image diffusion model

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tiny-diffusion

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

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training

Reference implementations of MLPerf™ training benchmarks

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