vganapati Goto Github PK

advent_of_code

Advent of Code Solutions

algorithmspython

balnmp

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides

careless

Merge X-ray diffraction data with Wilson's priors, variational inference, and metadata

careless-examples

Examples accompanying the Careless paper

cctbx_project

Computational Crystallography Toolbox

cmap2d

A small library for generating and sampling 2D RGB colormaps.

cog-examples

Some models defined with Cog to show you how it works

coordinate-based-internal-learning

The codebase for 'CoIL: Coordinate-based Internal Learning for Tomographic Imaging'

ct_pvae

Physics-informed variational autoencoder for computed tomography.

dials

Diffraction Integration for Advanced Light Sources

doe-hpc-workflow-training

Repo for a DOE HPC workflow training event

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

fourier_optics

Code to accompany teaching Introduction to Fourier Optics by Joseph W. Goodman

graph-neural-networks

hackerrank-interview-kit

ipywidgets

Interactive Widgets for the Jupyter Notebook

jojogan

Official PyTorch repo for JoJoGAN: One Shot Face Stylization

learncpp

led_pvae

Physics-informed variational autoencoder for LED array microscopy.

leetcode

ls49

SPREAD analysis with machine learning

microscopy-dl-suite-tf

Deep Learning segmentation suite designed for 2D microscopy image segmentation

multi-layer-born

new_lesion_segmentation_ms

noc-examples-processing

Repository for example code from The Nature of Code book

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

phys-vae

sim_erice