neuro-data-mining / materialsLinks
Educational and demonstrative materials in experimentation, statistics, and computing for the Neuroscience Data Mining Group at the Helen Wills Neuroscience Institute at UC Berkeley.
☆10Updated 9 years ago
Alternatives and similar repositories for materials
Users that are interested in materials are comparing it to the libraries listed below
Sorting:
- Tutorials on machine learning, artificial intelligence in general and in biomedical research.☆16Updated last year
- This repository holds all course materials for the fall 2016 offering of Statistics 238 (Bayesian Statistics) at UC Berkeley.☆30Updated 9 years ago
- The Meta-Species Oriented Biosystem Syntax in Python (MobsPy) was invented to facilitate the design of complex Chemical Reaction Networks☆25Updated 2 weeks ago
- Project in collaboration with Berkeley Deep Drive on driver's attention in manual, semi-autonomous and autonomous vehicles. It uses Pupil…☆12Updated 3 years ago
- This repository holds course materials for the fall 2021 offering of Statistics 243 at UC Berkeley.☆16Updated 3 years ago
- cimcb is a package containing the necessary tools for the statistical analysis of untargeted and targeted metabolomics data.☆10Updated 2 years ago
- Tutorials for GDSO at Berkeley Data Science Workshop☆15Updated 7 years ago
- Notebooks for the Berkeley course on practical neuroimaging☆17Updated 10 years ago
- Introductory workshop to modeling and model fitting in psychophysics and neuroscience☆11Updated 6 years ago
- Pacman AI Projects 1,2,3 - UC Berkeley☆11Updated 2 years ago
- Notes for "Introduction to Systems Programming" - 234124 (Technion)☆13Updated 3 years ago
- clathrin-mediated endocytosis analysis☆11Updated last week
- Matlab toolbox for Bayesian functional data analysis☆19Updated 7 years ago
- A versatile interface to the knockoff methodology.☆26Updated 3 years ago
- This R code implements the GSPPCA algorithm for high-dimensional unsupervised feature selection.☆10Updated 6 months ago
- Automated Quantitative Trait Locus Analysis (AutoQTL)☆10Updated last year
- ShinyLearner: a software framework for performing benchmarks of machine-learning classification algorithms☆18Updated 4 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Updated 3 years ago
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Updated 4 years ago
- This repository holds all course materials for the fall 2014 offering of Statistics 243 at UC Berkeley.☆15Updated 10 years ago
- Course Projects for CS 61B, the data structures class at UC Berkeley, Spring 2014☆10Updated 11 years ago
- self study java, through cs61b (http://www.cs.berkeley.edu/~jrs/61b/)☆10Updated 12 years ago
- Sandbox for generating visualizations of the bias-variance tradeoff for Machine Learning at Berkeley's blog.☆13Updated 8 years ago
- Course materials for Stat 133, Spring 2019, at UC Berkeley☆28Updated 6 years ago
- A Bayesian group factor model with structured sparsity☆22Updated 10 years ago
- Neuroproc dataset descriptions and dictionaries☆16Updated 9 years ago
- Homework for STAT 205A - Berkeley☆13Updated 11 years ago
- ☆16Updated 4 years ago
- Worked examples☆15Updated 7 years ago
- Jupyter Notebook tutorials for the Technion's CS 236756 course "Introduction to Machine Learning"☆26Updated 4 years ago