SupaeroDataScience / machine-learningLinks
☆18Updated last month
Alternatives and similar repositories for machine-learning
Users that are interested in machine-learning are comparing it to the libraries listed below
Sorting:
- Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.☆265Updated 3 weeks ago
- eXplainable Machine Learning 2023/24 at MIM UW☆22Updated last year
- Styling matplotlib made easy☆838Updated 2 months ago
- Homeworks and projects done during the Master Mathematics, Learning, Vision (MVA) at ENS Paris-Saclay.☆16Updated 4 months ago
- ☆41Updated last year
- 𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation re…☆548Updated last week
- Machine learning in Python with scikit-learn MOOC☆1,315Updated last week
- 📊 Soothing pastel theme for Matplotlib☆75Updated last year
- Draw datasets from within Python notebooks.☆1,583Updated this week
- Shapley Interactions and Shapley Values for Machine Learning☆638Updated this week
- Software design principles for machine learning applications☆375Updated 3 months ago
- Template for a data science project☆741Updated 3 months ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆719Updated this week
- Python-centered read-along of Forecasting: Principles and Practice☆510Updated 2 months ago
- Notebooks for the Practicals at the Deep Learning Indaba 2024.☆71Updated last year
- ☆30Updated 4 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,491Updated this week
- Graph Machine Learning course, Xavier Bresson, 2023☆613Updated last year
- IJCAI-24 Tutorial on Counterfactual Explanations: https://sites.google.com/view/tut-counterfactuals-ijcai24/☆12Updated last year
- Machine learning with dataframes☆1,512Updated this week
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,977Updated 2 weeks ago
- Hands-On Optimization with Python☆231Updated 2 months ago
- Materials for Applied Data Analysis CS-401, Fall 2021☆45Updated 2 years ago
- The book every data scientist needs on their desk.☆985Updated 2 months ago
- A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning m…☆17Updated last year
- A Python toolkit for debiasing neural networks in image classification tasks☆82Updated last month
- Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It al…☆641Updated last month
- A Library for Uncertainty Quantification.☆921Updated 7 months ago
- Access to free kaggle compute power from your command line☆32Updated last year
- The library for pooling in Graph Neural Networks made for Pytorch Geometric☆33Updated last week