cambridge-mlg / mphil-intro-moduleLinks
Jupyter notebooks on inference, regression and classification for MPhil students
☆48Updated 7 months ago
Alternatives and similar repositories for mphil-intro-module
Users that are interested in mphil-intro-module are comparing it to the libraries listed below
Sorting:
- MPhil Machine Learning and Machine Intelligence @ University of Cambridge☆48Updated 5 years ago
- ☆31Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆65Updated last month
- IVON optimizer for neural networks based on variational learning.☆66Updated 6 months ago
- Conjugate gradients minimization☆12Updated 5 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated last week
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆101Updated last year
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated last year
- ☆153Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 2 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆39Updated last month
- ☆241Updated 2 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆87Updated 3 months ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆52Updated last year
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Laplace approximations for Deep Learning.☆505Updated last month
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆122Updated 2 months ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Folklore facts on probability distribution learning, testing, and whatever-ing☆260Updated 2 months ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- Simple (and cheap!) neural network uncertainty estimation☆66Updated last week
- A framework for composing Neural Processes in Python☆85Updated 5 months ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- A Machine Learning workflow for Slurm.☆149Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆305Updated last week
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆21Updated 3 years ago