baegwangbin / MLMILinks
MPhil Machine Learning and Machine Intelligence @ University of Cambridge
☆52Updated 6 years ago
Alternatives and similar repositories for MLMI
Users that are interested in MLMI are comparing it to the libraries listed below
Sorting:
- Jupyter notebooks on inference, regression and classification for MPhil students☆55Updated 2 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- ☆194Updated 2 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆149Updated last year
- ☆222Updated last year
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆352Updated 5 months ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 4 years ago
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 3 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆240Updated last year
- Laplace approximations for Deep Learning.☆529Updated 7 months ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177Updated last year
- ☆240Updated 2 years 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…☆58Updated 2 years ago
- Pytorch implementation of Neural Processes for functions and images☆234Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- Course notes☆735Updated last year
- ☆64Updated 4 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- Causal Variational AutoEncoders☆29Updated 5 years ago
- A curated list of awesome variational inference☆26Updated 5 years ago
- ☆251Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- PyTorch implementation of bayesian neural network [torchbnn]☆552Updated last year
- ☆52Updated last year
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆169Updated last year
- ☆40Updated this week
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆311Updated 5 months ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆832Updated 4 years ago