google-deepmind / uncertain_ground_truthLinks
Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).
☆649Updated last year
Alternatives and similar repositories for uncertain_ground_truth
Users that are interested in uncertain_ground_truth are comparing it to the libraries listed below
Sorting:
- The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transfo…☆736Updated last week
- Python package for conformal prediction☆514Updated last month
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆220Updated last year
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆415Updated 3 weeks ago
- Shapley Interactions and Shapley Values for Machine Learning☆593Updated this week
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆253Updated 2 months ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆166Updated last month
- Graph Machine Learning course, Xavier Bresson, 2023☆613Updated 11 months ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆93Updated last year
- Curated list of interactive ML demos☆353Updated 4 months ago
- Deep Learning, an Energy Approach☆199Updated last month
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆252Updated last month
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆340Updated last month
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆396Updated 3 months ago
- A Library for Uncertainty Quantification.☆919Updated 3 months ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆185Updated 2 months ago
- Uncertainty quantification with PyTorch☆367Updated 3 months ago
- Software design principles for machine learning applications☆362Updated 4 months ago
- Lightweight, useful implementation of conformal prediction on real data.☆923Updated last month
- Python implementation of binary and multi-class Venn-ABERS calibration☆166Updated 3 weeks ago
- For optimization algorithm research and development.☆525Updated this week
- The boundary of neural network trainability is fractal☆215Updated last year
- Interactive textbook on state-space models☆196Updated last year
- Code for the book "The Elements of Differentiable Programming".☆255Updated last month
- ☆447Updated 2 weeks ago
- Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples☆194Updated 2 months ago
- ☆49Updated 7 months ago
- Machine Learning with Symbolic Tensors☆324Updated 2 months ago
- Highly commented implementations of Transformers in PyTorch☆136Updated 2 years ago
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆247Updated last year