neelsoumya
My research interests are in complex systems data science, machine learning, computational biology, computational immunology and computational immunogenomics.
University of CambridgeCambridge, UK
Pinned Repositories
ai_outreach
Resources for explaining AI to the public and outreach activities
butterfly_detector
Basic tutorials and code for teaching deep learning and machine learning
dsSurvival
Survival functions for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
dsSurvival_bookdown
A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
dsSurvivalbookdown
A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
dsSurvivalClient
Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
getting-_started_data_science
Resources to get started in data science and teach yourself data science
public_open_source_data_science
A repository of open source data science projects for social good
special_topics_unconventional_AI
Special topics class on unconventional AI
teaching_reproducible_science_R
Material and notes for teaching reproducible science in R
neelsoumya's Repositories
neelsoumya/special_topics_unconventional_AI
Special topics class on unconventional AI
neelsoumya/ai_outreach
Resources for explaining AI to the public and outreach activities
neelsoumya/dsSurvivalShiny
This is a package with miscellaneous tools, a set of computational tools and a graphical user interface (GUI) for privacy preserving federated survival model meta-analysis using the DataSHIELD platform. The primary function is to enable data and model documentation.
neelsoumya/awards
Awards (feel good folder) public
neelsoumya/basic_statistics
Repository for teaching basics of statistics for machine learning
neelsoumya/CFD_LLM_Accelerate24
LLM practice session
neelsoumya/cricket_scores
cricket scores
neelsoumya/CV
Curriculum Vitae
neelsoumya/deep_dali
Computational art for dynamical systems
neelsoumya/essential_shell_scripts
Essential shell (bash) scripts
neelsoumya/intro_to_LMMs
introduction to large language models (LMMs)
neelsoumya/introduction_to_R
introduction to R course in Cambridge
neelsoumya/linear_mixed_effects_model_teaching
Teaching material for linear mixed effects models
neelsoumya/machine_learning_advanced_complex_stories
code for advanced machine learning and generating complex explanations from machine learning models
neelsoumya/neelsoumya
About me (Soumya Banerjee)
neelsoumya/paper_preprints
Preprints of papers by Soumya Banerjee
neelsoumya/public_supervised_machine_learning
A lecture on supervised machine learning
neelsoumya/public_talk_AI_India
public_talk_AI_India
neelsoumya/teaching_rmarkdown_git
Teaching R markdown and git in Cambridge
neelsoumya/travel
travel
neelsoumya/TuneableCounterfactuals
neelsoumya/arc_paper_blog
Blog on ARC paper
neelsoumya/BACON
Python implementation of the BACON algorithms for automated scientific discovery
neelsoumya/Drake_Eqn
R Shiny simulation of the Drake equation
neelsoumya/dreamcoder-arc
Solving the Abstraction & Reasoning Corpus with DreamCoder
neelsoumya/hands-on-llms
A practical workshop to how large language model systems work, and how to get up and running quickly.
neelsoumya/science_fiction_AI
A short course on using science fiction to understand the philosophy and ethics of AI
neelsoumya/stats-mixed-effects-models
neelsoumya/talks
Video of talks I have given
neelsoumya/visualization
visualization