amishra-stats

Assistant Professor of Statistics @ University of Georgia

University of GeorgiaAthens

Pinned Repositories

AI_in_Ag_Conference_Workshop_4_15_2024
2024 AI in Agriculture and Natural Resources Conference April 15, 2024 - April 17, 2024
Language:Jupyter Notebook00
aima-pseudocode
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
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apg
Accelerated proximal gradient in R
Language:R00
bayes_days
R & Stan code associated with my "Bayes Days" workshop
Language:R00
bayesian_cbiomes
notebooks and files for the Bayesian CBIOMES workshop
Language:Jupyter Notebook0 0 00
gofar
Language:R2 2 01
nbfar
Language:R6 2 01
robregcc
Robust regression with compositional covariates
Language:R6 3 23
taro-package
Language:R11
vi-midas
Language:Jupyter Notebook1 2 00

amishra-stats's Repositories

amishra-stats/nbfar
Language:R6 2 01
amishra-stats/robregcc
Robust regression with compositional covariates
Language:R6 3 23
amishra-stats/gofar
Language:R2 2 01
amishra-stats/taro-package
Language:R11
amishra-stats/vi-midas
Language:Jupyter Notebook1 2 00
amishra-stats/AI_in_Ag_Conference_Workshop_4_15_2024
2024 AI in Agriculture and Natural Resources Conference April 15, 2024 - April 17, 2024
Language:Jupyter Notebook00
amishra-stats/apg
Accelerated proximal gradient in R
Language:R00
amishra-stats/BayesianModelSelection
Language:MATLAB00
amishra-stats/CoCo
Conditional Causal Optimization (CoCo)
Language:Python0 0 00
amishra-stats/cv
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amishra-stats/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
Language:Python0 0 00
amishra-stats/Global-rRNA-Univeral-Metabarcoding-of-Plankton
A central repository for the GRUMP (Global rRNA Universal Metabarcoding of Plankton) dataset, containing scripts for bioinformatic processing and retrieval of associated physical / geochemical measurements from publicly available data.
amishra-stats/go
The Open Source Data Science Masters
0 0
amishra-stats/iGIScData
iGIScData for research and teaching
amishra-stats/Lectures
This repository contains slides from some of the classes I have taught in my career. The repository will be updated from time to time. If you are interested in the .tex files and other material (e.g., lab material) for your own course preparation, feel free to reach out directly to me.
amishra-stats/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
amishra-stats/LoL
learning the Language of Life
amishra-stats/microbiome-metabolome-curated-data
amishra-stats/microbiome_pdb_pipeline
Computational workflows for analyzing 16S and metagenomics data
amishra-stats/ML_from_Scratch
Implementation of basic ML algorithms from scratch in python...
amishra-stats/nanostringr
NanoString QC, normalization, batch effect correction
amishra-stats/omd
Code for ocean mover's distance (OMD) project.
Language:HTML0 0
amishra-stats/PGQR
Penalized Generative Quantile Regression
amishra-stats/R-Bioinformatics-Cookbook
R Bioinformatics Cookbook, published by Packt
Language:HTML0 0
amishra-stats/r_and_python_book
amishra-stats/sciware
Learning materials for scientific software development
amishra-stats/secure
Language:C++
amishra-stats/Spencer_et_al_2021
This repository is for making available the code used in the paper "Dietary fiber and probiotics impact the gut microbiome and melanoma immunotherapy response" by Spencer et al (2021)
amishra-stats/stat451-machine-learning-fs21
amishra-stats/ZIPPCA
Zero-Inflated Probabilistic PCA (ZIPPCA), for dimension reduction and data ordination of multivariate abundance data, and propose an efficient variational approximation method for estimation, inference, and prediction.