automl-edu / AutoMLLectureLinks
Lecture on Automated Machine Learning
☆79Updated 2 years ago
Alternatives and similar repositories for AutoMLLecture
Users that are interested in AutoMLLecture are comparing it to the libraries listed below
Sorting:
- Parallel Hyperparameter Tuning in Python☆417Updated 10 months ago
- ☆203Updated 2 months ago
- Scikit-Learn API wrapper for Keras.☆251Updated last year
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆250Updated 2 months ago
- Drift Detection for your PyTorch Models☆324Updated 3 years ago
- Experiments on Tabular Data Models☆282Updated 2 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆343Updated 2 years ago
- Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.☆420Updated last week
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆186Updated this week
- ☆89Updated 7 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆265Updated 3 years ago
- OpenML AutoML Benchmarking Framework☆445Updated this week
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆210Updated 3 years ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆106Updated last week
- ☆500Updated last year
- An interactive framework to visualize and analyze your AutoML process in real-time.☆92Updated 2 weeks ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆298Updated 2 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆102Updated last year
- Software Architecture for ML engineers☆415Updated 3 years ago
- Lightweight Hyperparameter Optimization 🚂☆150Updated last year
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆88Updated 2 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 3 years ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆504Updated this week
- Coarse-grained lineage and tracing for machine learning pipelines.☆470Updated 3 years ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆723Updated this week
- Python Meta-Feature Extractor package.☆138Updated 4 months ago
- A learning curve benchmark on OpenML data☆32Updated last year
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆268Updated 3 months ago
- Fast SHAP value computation for interpreting tree-based models☆549Updated 2 years ago