cnellington
Computational Biology PhD Student, Carnegie Mellon University
Carnegie Mellon UniversityPittsburgh, PA
cnellington's Stars
Sinaptik-AI/pandas-ai
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
jordansissel/xdotool
fake keyboard/mouse input, window management, and more
dvanoni/notero
A Zotero plugin for syncing items and notes into Notion
cjolowicz/cookiecutter-hypermodern-python
Hypermodern Python Cookiecutter
Mariewelt/OpenChem
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
skovaka/UNCALLED
Raw nanopore signal mapper that enables real-time targeted sequencing
instadeepai/nucleotide-transformer
š§¬ Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics
leopard-ai/betty
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
TiesdeKok/chat-gpt-jupyter-extension
A browser extension to provide various AI helper functions in Jupyter Notebooks, powered by ChatGPT.
AutoLLM/ArxivDigest
ArXiv Digest and Personalized Recommendations using Large Language Models
facebookresearch/CPA
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
theislab/sc-pert
Models and datasets for perturbational single-cell omics
UCSD-AI4H/drugchat
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs
cnellington/Contextualized
An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.
vanderschaarlab/Interpretability
Resources for Machine Learning Explainability
samsledje/ConPLex_dev
erdogant/kaplanmeier
kaplanmeier is an python library to create survival curves using kaplan-meier, and compute the log-rank test.
blengerich/Personalized_Regression
Personalized Regression
SeyoungKimLab/DMGP
Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, Oral)
MBZUAI/AI4Bio-Reading-List
Must-read papers on AI for Biology
alshedivat/cen
Contextual Explanation Networks (CEN).
blengerich/clehrity
sailing-lab/sailing-lab.github.io
blengerich/Personalized_Regression_Neurips19
Code for Experiments Accompanying the paper "Learning Sample-Specific Models with Low-Rank Personalized Regression"
CMUSchwartzLab/MosaicSim
blengerich/scContextualized
Handlers and utilities for Contextualized analysis of single-cell datasets.
blengerich/ContextualGAM
Contextualized Generalized Additive Models.
xinshi-chen/MultiDAG