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[HELP REQUESTED] Generalized Additive Models in Python
Python packaging and dependency management made easy
This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
Regression Transformer (2023; Nature Machine Intelligence)
List of startups doing AI & ML
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
Monotonic Gaussian Process Flow
All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
A curated list of awesome variational inference
Repo for our paper "Repulsive deep ensembles are Bayesian"
Source code for the AISTATS paper "Frequentist Uncertainty Quantification in Semi-Structured Neural Networks"
Code Repo for "Subspace Inference for Bayesian Deep Learning"
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
✨✨Latest Advances on Multimodal Large Language Models
A curated list of awesome Multimodal studies.
A python package for semi-structured deep distributional regression
Code for deepregression Tutorial Paper
Code examples in pyTorch and Tensorflow for CS230
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Multiplicative Interaction Models Diagnostics and Visualization, Producing Flexible Marginal Effect Estimates
An extension of LightGBM to probabilistic modelling
Resources about time series forecasting and deep learning.
Simple command to backup a Notion workspace
An R package for causal inference in time series