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
openai/openai-cookbook
Examples and guides for using the OpenAI API
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—foundation models
unslothai/unsloth
Finetune Llama 3.2, Mistral, Phi, Qwen & Gemma LLMs 2-5x faster with 80% less memory
phidatahq/phidata
Build AI Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI.
SJTU-IPADS/PowerInfer
High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
lllyasviel/Omost
Your image is almost there!
Upsonic/gpt-computer-assistant
Intelligence development framework in python for your product like Apple Intelligence
pytorch/captum
Model interpretability and understanding for PyTorch
pytorch/torchtune
PyTorch native finetuning library
QwenLM/Qwen-Audio
The official repo of Qwen-Audio (通义千问-Audio) chat & pretrained large audio language model proposed by Alibaba Cloud.
havakv/pycox
Survival analysis with PyTorch
rstudio/bslib
Tools for theming Shiny and R Markdown via Bootstrap 3, 4, or 5.
easystats/parameters
:bar_chart: Computation and processing of models' parameters
aangelopoulos/ppi_py
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
rapidsai/gputreeshap
AndriSignorell/DescTools
Tools for Descriptive Statistics and Exploratory Data Analysis
RaphaelS1/survivalmodels
Implementations of survival models in R
AIgen/df-posthoc-calibration
Model-agnostic posthoc calibration without distributional assumptions
MSKCC-Epi-Bio/dcurves
Python package for Andrew Vickers' Decision Curve Analysis method to evaluate prediction models and diagnostic tests
poloclub/Fine-tuning-LLMs
Finetune Llama 2 on Colab for free on your own data: step-by-step tutorial
easonfg/cali_tutorial
mlr-org/mlr3summary
boyercb/gmethods
cavalab/pmcboost
proportional multicalibration boosting
HIAlab/sinot
In this project I created python scripts and functions to simulate n of 1 studies based on given parameters
ngalanter/rct2otrbounds
R Package for using clinical trial summary statistics to bound the benefit of individualizing treatment
cran/cgam
:exclamation: This is a read-only mirror of the CRAN R package repository. cgam — Constrained Generalized Additive Model
imalenica/Combined-Super-Learner
zhexiaolin/On-boosting-the-power-of-Chatterjee-s-rank-correlation