Aditya Kumar Mishra's repositories
AI_in_Ag_Conference_Workshop_4_15_2024
2024 AI in Agriculture and Natural Resources Conference April 15, 2024 - April 17, 2024
apg
Accelerated proximal gradient in R
CoCo
Conditional Causal Optimization (CoCo)
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
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.
go
The Open Source Data Science Masters
iGIScData
iGIScData for research and teaching
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.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LoL
learning the Language of Life
microbiome_pdb_pipeline
Computational workflows for analyzing 16S and metagenomics data
ML_from_Scratch
Implementation of basic ML algorithms from scratch in python...
nanostringr
NanoString QC, normalization, batch effect correction
omd
Code for ocean mover's distance (OMD) project.
PGQR
Penalized Generative Quantile Regression
R-Bioinformatics-Cookbook
R Bioinformatics Cookbook, published by Packt
sciware
Learning materials for scientific software development
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)
vi-midas
Embedding model for microbiome data analysis
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.