Akash Kumar Dhaka's starred repositories
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
awesome-mlops
A curated list of references for MLOps
awesome-mlops
:sunglasses: A curated list of awesome MLOps tools
mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
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.
jekyll-clean
A simple and clean Jekyll theme that's easy to modify.
posteriordb
Database with posteriors of interest for Bayesian inference
verified_calibration
Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).
biostatistics
Biostatistics resources : reading list, RMarkdown notebooks, and more!
StanSensitivity
Tools for automatically generating local sensitivity measures in Stan.
adaptive-f-divergence
A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"
calibration
Python package for evaluating model calibration in classification
stat_comp_benchmarks
Benchmark Models for Evaluating Algorithm Accuracy
adhaka.github.io
personal website for research profile
cmdstan-warmup
This goes along with: https://arxiv.org/abs/1905.11916