saugatkandel Goto Github PK

adorym

Adorym: Automatic Differentiation-based Object Reconstruction with DynaMical Scattering

ai-ml_control_system

ML Control System for the Beamline 34-ID-C @ APS

cdi_image_reconstruction

Python implementation of image reconstruction from X-ray imaging data

cdi_nn

A pair of deep convolutional enoder-decoder networks that take 2D diffraction data and output the corresponding structure and phase

coax

Modular framework for Reinforcement Learning in python

complexpytorch

A high-level toolbox for using complex valued neural networks in PyTorch

compressed_sensing_bcdi

Reweighted l1 approach to bcdi reconstruction

cvnn

Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

cvnn_custom_models

danielzt12.github.io

Fork to test things out.

edgeptychonn

fast_smart_scanning

Fast Autonomous Scanning Toolkit

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

hpc_computing_hw

Sample programs for HPC computing - with C, MPI, and CUDA.

image_utils

Some general utilities developed for 2D/3D image analysis

machinelearning

Homeworks for the machine learning and optimizations class

mbptycho

Multi-peak bragg ptychography

phaser

BCDI phase retrieval module written in Python 3.x. GPU implementation done using Tensorflow 2.1, with an older library available that uses Tensorflow 1.x.

plotneuralnet

Latex code for making neural networks diagrams

ptychonn

Deep learning of ptychographic imaging

ptychosampling

Code for ptychography with tensorflow

saugatkandel.github.io

slads

Supervised Learning Algorithm for Dynamic Sampling

slads-net

Neural network trained dynamic sampling algorithm for scanning microscopy

sopt

Second order optimization with automatic differentiation

tensorflow_tutorials

triangle_cdi

Testing triangle cdi