Biostatistics resources : reading list, RMarkdown notebooks, and more!

Code release for NeRF (Neural Radiance Fields)

Bayesian Analysis with Python (Second Edition)

Exploring and eliciting probability distributions

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/

The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

Python package for evaluating model calibration in classification

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).

A curated list of references for MLOps

😎 A curated list of awesome MLOps tools

Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments

personal website for research profile

Efficient, lightweight variational inference and approximation bounds

"Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Autograd Variational Inference

A simple library to run variational inference on Stan models.

Tools for automatically generating local sensitivity measures in Stan.

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

This goes along with: https://arxiv.org/abs/1905.11916

Generic curve fitting package with nonlinear mixed effects model

Annealed Importance Sampling (AIS) for generative models.

Exploratory analysis of Bayesian models with Python

Benchmark Models for Evaluating Algorithm Accuracy

Database with posteriors of interest for Bayesian inference

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Bluetooth Low Energy Indoor Positioning - Master Thesis