microsoft / goodpointsLinks
A Python package for generating concise, high-quality summaries of a probability distribution
☆53Updated last month
Alternatives and similar repositories for goodpoints
Users that are interested in goodpoints are comparing it to the libraries listed below
Sorting:
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆69Updated 2 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- ☆34Updated 10 months ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆183Updated 2 weeks ago
- DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule☆63Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆63Updated 4 years ago
- ☆37Updated 3 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year
- ☆60Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆170Updated 3 months ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆40Updated 2 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- Library that contains implementations of machine learning components in the hyperbolic space☆143Updated last year
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 2 years ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 5 months ago
- This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.☆16Updated 2 years ago
- Code for minimum-entropy coupling.☆32Updated last year
- ☆247Updated 3 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated 2 years ago
- ☆192Updated 3 months ago