Akash Kumar Dhaka (adhaka)

adhaka

Geek Repo

Company:Aalto University

Location:rishikesh, india

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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

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awesome-mlops

A curated list of references for MLOps

h2ogpt

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/

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nerf

Code release for NeRF (Neural Radiance Fields)

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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.

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stan

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.

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uncertainty-toolbox

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

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arviz

Exploratory analysis of Bayesian models with Python

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BAP

Bayesian Analysis with Python (Second Edition)

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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.

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CurveFit

Generic curve fitting package with nonlinear mixed effects model

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jekyll-clean

A simple and clean Jekyll theme that's easy to modify.

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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).

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preliz

A tool-box for prior elicitation.

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incertae

Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments

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biostatistics

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

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viabel

Efficient, lightweight variational inference and approximation bounds

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StanSensitivity

Tools for automatically generating local sensitivity measures in Stan.

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adaptive-f-divergence

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

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calibration

Python package for evaluating model calibration in classification

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vistan

A simple library to run variational inference on Stan models.

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ais

Annealed Importance Sampling (AIS) for generative models.

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paragami

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

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stat_comp_benchmarks

Benchmark Models for Evaluating Algorithm Accuracy

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adhaka.github.io

personal website for research profile

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advi

Autograd Variational Inference

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ble-ip

Bluetooth Low Energy Indoor Positioning - Master Thesis

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cmdstan-warmup

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

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