chagaz / sdd_2021
Cours de science des données en 1A à Mines ParisTech, année 2020-2021.
☆15Updated 3 years ago
Alternatives and similar repositories for sdd_2021:
Users that are interested in sdd_2021 are comparing it to the libraries listed below
- Cours « science des données » à Mines ParisTech (2019-2020)☆23Updated 4 years ago
- The Mines Paristech's student life management application☆24Updated 2 years ago
- UE11, Calcul Différentiel Intégral et Stochastique, MINES ParisTech☆34Updated 3 months ago
- A small python library to adjust and annotate axis ticklabels in plots.☆52Updated 2 years ago
- This repository is now archived. Further development has been moved to https://github.com/medkit-lib/medkit.☆23Updated last year
- Algorithmically create or extend categorical colour palettes☆216Updated 2 months ago
- High-level API for attractive and descriptive image visualization in Python☆67Updated 3 weeks ago
- ☆14Updated 2 years ago
- A spectral method for assessing and combining multiple data visualizations☆49Updated last year
- A Python package for General Graphical Lasso computation☆34Updated last month
- Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.☆70Updated 9 months ago
- Competing Risks and Survival Analysis☆95Updated last week
- DLiP course companion repository for practical 1☆13Updated 3 months ago
- ☆10Updated last year
- Fast and modular sklearn replacement for generalized linear models☆171Updated this week
- Fast K-Medoids clustering in Python with FasterPAM☆73Updated 4 months ago
- A temporary repository hosting a pomegranate re-write using PyTorch as the backend.☆72Updated 2 years ago
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆78Updated this week
- ☆11Updated 6 months ago
- Python implementations for Sparse CCA☆16Updated 2 years ago
- An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data☆51Updated 6 years ago
- ECCB2021 tutorial: Inside the ‘Black Box’: Explainable Deep Learning Models For Image and Sequence Classification☆10Updated 3 years ago
- A toolbox for fair and explainable machine learning☆55Updated 10 months ago
- Deep learning made topological.☆83Updated 9 months ago
- CANAlization: Control & Redundancy in Boolean Networks☆23Updated 8 months ago
- ☆33Updated 3 years ago
- Probabilistic contrastive principal component analysis (PCPCA)☆24Updated 3 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Utilities for formatting matplotlib figures☆31Updated 2 months ago
- Unsupervised visualization of image datasets using contrastive learning☆116Updated last month