Krozard

Krozard's Stars

• alecheckert/saspt

  State arrays for single particle tracking

  Language:Python96

• stardist/stardist

  StarDist - Object Detection with Star-convex Shapes

  Language:Python915220

• Biophysical-Fluorescence-Laboratory/Imaging_FCS_1_52

  Imaging_FCS 1.52 is a basic ImageJ plugin to calculate and view spatio-temporal correlation functions from 16 bit gray tiff stack files. It was written under FIJI (ImageJ 1.51f; Java 1.8.0_102) and requires Imagescience for statistics (simulator) and Apache Poi for file reading and writing.

  Language:Java41

• uw-ipd/RoseTTAFold2

  Language:Python17539

• haddocking/prodigy

  Predict the binding affinity of protein-protein complexes from structural data

  Language:Python11026

• tritemio/pycorrelate

  Fast and accurate cross-correlation over arbitrary time lags. Moved to:

  Language:Python2111

• FCS-analysis/PyCorrFit

  data analysis and fitting software for fluorescence correlation spectroscopy (FCS)

  Language:Python4913

• google-deepmind/alphafold

  Open source code for AlphaFold.

  Language:Python12.7k2.3k

• BiteenMatlab/NOBIAS

  Matlab code for running the NOBIAS algorithm which applies nonparametric Bayesian statistics and deep learning approaches to quantify dynamics and assesses anomalous diffusion in single-molecule tracking datasets. From Chen et al, submitted (2021)

  Language:MATLAB53

• Reyes-LamotheLab/Bound2Learn

  Scripts described in Bound2Learn paper

  Language:MATLAB11

• SpakowitzLab/wlcsim

  Andy's WLC code with brownian dinamics

  Language:Fortran411

• alecheckert/dpsp

  Dirichlet process mixture models for single particle tracking

  Language:Python1

• bloomberg/memray

  Memray is a memory profiler for Python

  Language:Python13.3k394

• lucylulu/Forecast_LTG_EMPML

  Language:MATLAB1

• lcbb/MSD-Bayes

  Language:MATLAB2

• jsbryan4/FluorophoreCounter

  Language:Python2

• rbgirshick/py-faster-rcnn

  Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

  Language:Python8.1k4.1k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.7k4.2k

• strongio/torchcast

  Forecasting with PyTorch

  Language:Python534

• kuc2477/pytorch-vae

  PyTorch implementation of "Auto-Encoding Variational Bayes", arxiv:1312.6114

  Language:Python526

• piEsposito/blitz-bayesian-deep-learning

  A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

  Language:Python933106

• stanford-iprl-lab/torchfilter

  Bayesian filters in PyTorch

  Language:Python14723

• alecheckert/quot

  A simple single molecule tracking pipeline with a graphic user interface for quality control.

  Language:Python132

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.3k3.4k

• HSF-reco-and-software-triggers/Tracking-ML-Exa.TrkX

  Language:Jupyter Notebook1720

• soft-matter/trackpy

  Python particle tracking toolkit

  Language:Python448132

• kornia/kornia

  Geometric Computer Vision Library for Spatial AI

  Language:Python9.9k969

• vandit15/Class-balanced-loss-pytorch

  Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

  Language:Python783120

• DeepTrackAI/DeepTrack2

  DeepTrack2

  Language:Python16250

• softmatterlab/DeepTrack

  Language:Jupyter Notebook3713