sourestdeeds

sourestdeeds's Stars

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  310k8.4k50777.5k

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.6k1.8k19418k

• gto76/python-cheatsheet

  Comprehensive Python Cheatsheet

  Language:Python36.7k971656.5k

• posquit0/Awesome-CV

  :page_facing_up: Awesome CV is LaTeX template for your outstanding job application

  Language:TeX23.5k2162874.8k

• victoresque/pytorch-template

  PyTorch deep learning projects made easy.

  Language:Python4.8k55641.1k

• jekyll/minima

  Minima is a one-size-fits-all Jekyll theme for writers.

  Language:SCSS3.5k603633.7k

• gautamkrishnar/blog-post-workflow

  Show your latest blog posts from any sources or StackOverflow activity or Youtube Videos on your GitHub profile/project readme automatically using the RSS feed

  Language:JavaScript3.1k19140276

• JDAI-CV/FaceX-Zoo

  A PyTorch Toolbox for Face Recognition

  Language:Python1.9k41161432

• vlawhern/arl-eegmodels

  This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

  Language:Python1.2k4142299

• marcoancona/DeepExplain

  A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

  Language:Python7413765134

• astropy/astroquery

  Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz and @ceb8

  Language:Python715321.4k403

• idiap/importance-sampling

  Code for experiments regarding importance sampling for training neural networks

  Language:Python324143560

• spacetelescope/notebooks

  Content in this repository is not maintained and is actively being migrated to other repos.

  Language:Jupyter Notebook2185173164

• JohannesBuchner/UltraNest

  Fit and compare complex models reliably and rapidly. Advanced nested sampling.

  Language:Python161713431

• diovisgood/agender

  Real-time estimation of gender and age

  Language:Python1587539

• hubertjb/dl-eeg-review

  Supplementary material for systematic literature review on deep learning and EEG.

  Language:Python15515432

• sappelhoff/pyprep

  PyPREP: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data

  Language:Python13988335

• afeinstein20/eleanor

  A tool for light curve extraction from the TESS FFIs.

  Language:Python94517739

• jakevdp/PracticalLombScargle

  Source for my paper, Understanding the Lomb-Scargle Periodogram

  Language:Jupyter Notebook8011040

• LSH9832/SAMLabelerPro

  label your image with Segment Anything Model or MobileSAM, support remote labeling for multiple persons。使用Segment Anything Model或MobileSAM辅助标注的工具，支持多人远程标注

  Language:Python762311

• hubertjb/dl-eeg-tutorial

  Hands-on tutorial on deep learning for EEG classification.

  Language:Jupyter Notebook697129

• nespinoza/juliet

  A versatile modelling tool for transiting and non-transiting (single and multiple) exoplanetary systems

  Language:Python5698830

• hippke/tls

  Transit Least Squares: An optimized transit-fitting algorithm to search for periodic transits of small planets

  Language:Jupyter Notebook49710527

• manukalia/handy_data_viz_functions

  Jupyter notebook of (python/Pandas) code snippets for handy matplotlib and Seaborn plotting functions to speed up EDA

  Language:Jupyter Notebook374024

• JeongHyunJin/Pix2PixHD

  Pix2PixHD codes for scientific data analysis

  Language:Python352129

• jamescalam/pysqlplus

  Language:Python30404

• abudata/notes-on-python-tricks-the-book

  Notes I took while reading 'Python Tricks: The Book. A Buffet of Awesome Python Features'

  Language:Jupyter Notebook205031

• konkolyseismolab/autoeap

  Automated Extended Aperture Photometry for K2 variable stars

  Language:Python3201

• zkbt/illumination

  Python tools for visualizing astronomical images, particularly from the NASA TESS mission.

  Language:Python2211

• orionlee/LATTE

  Lightcurve Analysis Tool for Transiting Exoplanet

  Language:Jupyter Notebook1200