Updated 6 months ago

clusttraj • Rank 8.3 • Science 67%

Python script that receives a molecular dynamics or Monte Carlo trajectory and performs agglomerative clustering to classify similar structures.

Updated 6 months ago

tinto-prueba • Rank 5.4 • Science 49%

TINTO: Software to convert Tidy Data into Image for Classification with 2-Dimensional Convolutional Neural Networks

Updated 6 months ago

fa • Rank 11.4 • Science 26%

Automation tool for locating symbols & structs in binary (primary IDA focused)

Updated 5 months ago

https://github.com/beatawereszczynska/tiandte_wish • Science 23%

Calculating theoretical MRI images with both TI (T1-weighting) and TE (T2-weighting) of choice, from separate T1-weighted and T2-weighted sets of images. (Python 3)

Updated 6 months ago

asaca-automatic-speech-analysis-for-cognitive-assessment • Science 44%

The automatic system that can extract PRAAT-like speech features from raw speech wav files, and also can get low WER (<10) high quality transcriptions at the same time.

Updated 5 months ago

https://github.com/beatawereszczynska/t1wir_to_t1wsr • Science 23%

Simulating T1-weighted saturation recovery MRI images for arbitrary values of TR from a set of T1-weighted inversion recovery MRI images. (Python 3)

Updated 6 months ago

congressional-portal-project • Science 44%

Project files, scripts, configurations, and workflow publications for the Congressional Portal Project

Updated 6 months ago

archives-handwriting-text-extract-project • Science 26%

Project files, scripts, configurations, and workflow publications for the Archives-Textract Test Project

Updated 6 months ago

pyfast_calibration • Science 31%

Fast Automatic Stress Tensor Calibration for 3D geomechanical-numerical modelling (Python version)

Updated 6 months ago

mri_k-space-derived_details_edges • Science 67%

k-space based details/edges detection in MRI images with optional k-space based denoising and detail control (on the example of Agilent FID data). (Python 3)

Updated 6 months ago

k-space_wght_msk_for_mri_denoising • Science 67%

k-space weighting and masking for denoising of MRI image without blurring or losing contrast, as well as for brightening of the objects in the image with simultaneous noise reduction (on the example of Agilent FID data). (Python 3)