baegwangbin / MLMI
MPhil Machine Learning and Machine Intelligence @ University of Cambridge
☆48Updated 5 years ago
Alternatives and similar repositories for MLMI:
Users that are interested in MLMI are comparing it to the libraries listed below
- Jupyter notebooks on inference, regression and classification for MPhil students☆47Updated 5 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆89Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆175Updated 2 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆210Updated 5 months ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 3 years ago
- ☆240Updated 2 years ago
- ☆183Updated 2 years ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 10 months ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- ☆150Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆198Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆86Updated last month
- ☆39Updated 3 years ago
- Hands-on tutorials at EEML2022 summer school☆62Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆112Updated this week
- Pytorch implementation of Neural Processes for functions and images☆227Updated 3 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆213Updated 9 months ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆194Updated 2 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 7 months ago
- Agustinus' very opiniated publication-ready plotting library☆62Updated 2 months ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 11 months ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆166Updated 10 months ago
- Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"☆22Updated last year
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆21Updated 2 years ago
- ☆222Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago