Akash Kumar Dhaka's repositories
adhaka.github.io
personal website for research profile
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
bayesplot
bayesplot R package for plotting Bayesian models
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
calibration-framework
The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.
cmdstan-warmup
This goes along with: https://arxiv.org/abs/1905.11916
ecg_ptbxl_benchmarking
Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"
Evaluating-Variational-Inference
Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration
GP_Stan_Sparse_Case_Study
A case study on the utility of sparse models in stan for 1D regression problems.
jekyll-clean
A simple and clean Jekyll theme that's easy to modify. See it here:
ml_utilities
some utilities to solve come commonly occuring problems in machine learning written in super-cool Python
mlops_coursera
colab notebooks for the cuorsera course on MLops by Andrew NG and others
preliz
Tools to help you pick a prior
Sparse_GP_Stan
several implementation of sparse GP models and inference with HMC in Stan code and Python wrappers.
StanSensitivity
Tools for automatically generating local sensitivity measures in Stan.
survivalstan
Library of Stan Models for Survival Analysis