Jako-K / schedulerplotterLinks
Simple GUI for PyTorch's learning rate schedulers
☆12Updated last year
Alternatives and similar repositories for schedulerplotter
Users that are interested in schedulerplotter are comparing it to the libraries listed below
Sorting:
- Material for PyData 2020 Tutorial☆11Updated 4 years ago
- Repository with all my blog posts on data science and machine learning learning topics☆80Updated 6 months ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆65Updated 7 months ago
- The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …☆76Updated 2 years ago
- Hands on tutorial for keras-tuner☆27Updated last year
- Repository for the course Probabilistic Machine Learning at Tübingen University☆25Updated 5 years ago
- Representation Learning MSc course Summer Semester 2023☆80Updated last year
- Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)☆81Updated 3 years ago
- Can machines help us understand how to distinguish rock types?☆22Updated 3 years ago
- Utilities to perform Uncertainty Quantification on Keras Models☆116Updated last year
- Bayesian Methods for Machine Learning☆64Updated 6 years ago
- Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…☆74Updated 6 months ago
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 3 months ago
- ☆152Updated 3 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆87Updated 2 years ago
- Benchmark time series data sets for PyTorch☆36Updated last year
- An attempt to use KAN☆12Updated last year
- ☆199Updated last month
- Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al☆52Updated 2 years ago
- ☆8Updated 6 years ago
- ☆11Updated 4 years ago
- Code for the DataPipes article☆15Updated 3 years ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆22Updated last year
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated last year
- ☆42Updated 2 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- ☆13Updated 3 years ago
- ☆39Updated 6 months ago