ck37
Psychiatry faculty; biostatistics PhD. {Targeted, deep, machine} learning, NLP, IRT, computer vision, exposure mixtures, EHRs.
Harvard Medical School, Mass General HospitalBoston, MA
ck37's Stars
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
tracel-ai/burn
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
osm-search/Nominatim
Open Source search based on OpenStreetMap data
resemble-ai/resemble-enhance
AI powered speech denoising and enhancement
myshell-ai/JetMoE
Reaching LLaMA2 Performance with 0.1M Dollars
daattali/shinyjs
💡 Easily improve the user experience of your Shiny apps in seconds
BiomedSciAI/causallib
A Python package for modular causal inference analysis and model evaluations
ponnhide/patchworklib
Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.
abstractqqq/polars_ds_extension
Polars extension for general data science use cases
jessecambon/tidygeocoder
Geocoding Made Easy
lindeloev/job
job: free Your RStudio Console
Q-Future/Q-Bench
①[ICLR2024 Spotlight] (GPT-4V/Gemini-Pro/Qwen-VL-Plus+16 OS MLLMs) A benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.
eddelbuettel/mkl4deb
Adding the Intel MKL to a Debian / Ubuntu system via one simple script
tracel-ai/models
Models and examples built with Burn
yandexdataschool/roc_comparison
The fast version of DeLong's method for computing the covariance of unadjusted AUC.
ropensci/tarchetypes
Archetypes for targets and pipelines
gavinrozzi/zipcodeR
An R package that makes working with U.S. ZIP codes painless.
ModelOriented/ingredients
Effects and Importances of Model Ingredients
Jstacs/Jstacs
dncR/easyROC
easyROC: an interactive web-tool for ROC analysis
mlr-org/mlr3fairness
mlr3 extension for Fairness in Machine Learning
markvanderlaan1967/Lasso-and-Beyond
Declancharrison/Level-Set-Boosting
villardon/MultBiplotR
jgaeb/measure-mismeasure
Reproduction materials for "The Measure and Mismeasure of Fairness"
BerkeleyBiostats/l3c_ctml
Code for NIH Long COVID Computational Challenge 2022, Targeted Machine Learning Analysis Group
cavalab/proportional-multicalibration
reconciling multi-calibration and differential fairness/privacy
ldliao/mexPred
ldliao/tl4rct
code for "Transfer Learning With Efficient Estimators to Optimally Leverage Historical Data in Analysis of Randomized Trials"
parichoy/two_phase_AUC
R code implementing estimators of Area Under the Curve(AUC) in two-phase studies