Pinned Repositories
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
compressed_sensing_bcdi
Reweighted l1 approach to bcdi reconstruction
fast_smart_scanning
Fast Autonomous Scanning Toolkit
image_utils
Some general utilities developed for 2D/3D image analysis
ptychoSampling
Code for ptychography with tensorflow
SLADS-Net
Neural network trained dynamic sampling algorithm for scanning microscopy
sopt
Second order optimization with automatic differentiation
saugatkandel's Repositories
saugatkandel/ptychoSampling
Code for ptychography with tensorflow
saugatkandel/fast_smart_scanning
Fast Autonomous Scanning Toolkit
saugatkandel/sopt
Second order optimization with automatic differentiation
saugatkandel/AI-ML_Control_System
ML Control System for the Beamline 34-ID-C @ APS
saugatkandel/compressed_sensing_bcdi
Reweighted l1 approach to bcdi reconstruction
saugatkandel/image_utils
Some general utilities developed for 2D/3D image analysis
saugatkandel/SLADS-Net
Neural network trained dynamic sampling algorithm for scanning microscopy
saugatkandel/adorym
Adorym: Automatic Differentiation-based Object Reconstruction with DynaMical Scattering
saugatkandel/CDI_image_reconstruction
Python implementation of image reconstruction from X-ray imaging data
saugatkandel/CDI_NN
A pair of deep convolutional enoder-decoder networks that take 2D diffraction data and output the corresponding structure and phase
saugatkandel/coax
Modular framework for Reinforcement Learning in python
saugatkandel/complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
saugatkandel/cvnn
Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end
saugatkandel/cvnn_custom_models
saugatkandel/danielzt12.github.io
Fork to test things out.
saugatkandel/edgePtychoNN
saugatkandel/hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
saugatkandel/hpc_computing_hw
Sample programs for HPC computing - with C, MPI, and CUDA.
saugatkandel/machinelearning
Homeworks for the machine learning and optimizations class
saugatkandel/mbptycho
Multi-peak bragg ptychography
saugatkandel/Medical-SAM2
Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2
saugatkandel/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.
saugatkandel/PlotNeuralNet
Latex code for making neural networks diagrams
saugatkandel/PtychoNN
Deep learning of ptychographic imaging
saugatkandel/saugatkandel.github.io
saugatkandel/segment-anything-2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
saugatkandel/SLADS
Supervised Learning Algorithm for Dynamic Sampling
saugatkandel/spotiflow
Accurate and efficient spot detection for microscopy data
saugatkandel/tensorflow_tutorials
saugatkandel/triangle_cdi
Testing triangle cdi