dyunis / spectral_dynamicsLinks
Code for "Approaching Deep Learning through the Spectral Dynamics of Weights"
☆13Updated last year
Alternatives and similar repositories for spectral_dynamics
Users that are interested in spectral_dynamics are comparing it to the libraries listed below
Sorting:
- Bayesian Bandits☆68Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆180Updated 3 months ago
- A Python package for generating concise, high-quality summaries of a probability distribution☆57Updated 3 weeks ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- A didactic Python library with well-commented and annotated implementations of machine learning algorithms.☆56Updated 5 years ago
- Uncertainty quantification with PyTorch☆379Updated 2 weeks ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆79Updated this week
- ☆60Updated 10 months ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177Updated last year
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆274Updated 5 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 8 months ago
- A library for uncertainty quantification based on PyTorch☆121Updated 4 years ago
- Structural Time Series in JAX☆214Updated last year
- ☆11Updated 4 months ago
- Agustinus' very opiniated publication-ready plotting library☆71Updated 9 months ago
- A course on imprecise probabilistic machine learning☆126Updated last week
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆55Updated 5 months ago
- ☆48Updated last year
- Pre-trained Gaussian processes for Bayesian optimization☆100Updated last month
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆84Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆74Updated 3 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆61Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆67Updated 4 months ago
- Classification metrics and post-hoc calibration☆50Updated last month
- Some small scale experiments for my blog posts 📝☆80Updated 3 years ago
- Neat Bayesian machine learning examples☆58Updated this week