DAG-EPFL / weekly-challenges-21-spring
☆8Updated 3 years ago
Alternatives and similar repositories for weekly-challenges-21-spring
Users that are interested in weekly-challenges-21-spring are comparing it to the libraries listed below
Sorting:
- Materials for The Alan Turing Institute's Research Software Engineering course☆248Updated 2 weeks ago
- Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2021.☆8Updated 4 years ago
- Materials for Applied Data Analysis CS-401, Fall 2021☆45Updated 2 years ago
- In this tutorial, we go over the features of statannotations☆25Updated 3 years ago
- Software Engineering course materials from EPFL☆102Updated 8 months ago
- add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot☆400Updated 2 years ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆432Updated 8 months ago
- 🤖 A curated list of machine learning & artificial intelligence startups in Berlin (Germany)☆290Updated 2 years ago
- Writing good research code☆116Updated 3 years ago
- STATS320: Statistical Methods for Neural Data Analysis☆194Updated this week
- Contains programming labs and lecture notes for the lecture "Neural Data Science"☆103Updated 3 years ago
- Statistical package in Python based on Pandas☆1,751Updated last month
- EPFL Machine Learning Course, Fall 2024☆1,290Updated 3 months ago
- python version of raincloud☆288Updated 9 months ago
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated 3 months ago
- Bayesian Statistics MOOC by Coursera - Solutions in Python☆31Updated last year
- Data Analysis with Bootstrapped ESTimation☆350Updated last month
- Slides and Demo for UCLA IDRE "High Performance Data Science in Python"☆10Updated 2 months ago
- CS-423 Distributed Information Systems☆70Updated 3 months ago
- Coding course materials for Brain-like computation and intelligence☆11Updated last month
- A repo for the pre-course work at home exercises☆620Updated last month
- add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different…☆746Updated last month
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- Multiple hypothesis testing in Python☆105Updated 9 months ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆598Updated 3 months ago
- Interpretable Machine Learning with Python, published by Packt☆462Updated last year
- ☆342Updated 4 years ago
- Materials for the 2020 NeuroDataScience Course (McGill QLS612)☆30Updated 11 months ago
- COGS118C [Neural Signal Processing] @ UCSanDiego☆165Updated 5 years ago
- Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities☆42Updated 4 years ago