Pinned Repositories
adr-nlp
aequitas
Bias and Fairness Audit Toolkit
alibi
Algorithms for explaining machine learning models
alibi-detect
Algorithms for outlier, adversarial and drift detection
ann-visualizer
A python library for visualizing Artificial Neural Networks (ANN)
antropy
AntroPy: entropy and complexity of (EEG) time-series in Python
async-pubmed-scraper
PubMed scraper for async search on a list of keywords and concurrent extraction of all found URLs, returning a DataFrame/CSV containing all article data (title, abstract, authors, affiliations, etc)
auto-sklearn
Automated Machine Learning with scikit-learn
Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
pingouin
Statistical package in Python based on Pandas
JBarsotti's Repositories
JBarsotti/pingouin
Statistical package in Python based on Pandas
JBarsotti/alibi
Algorithms for explaining machine learning models
JBarsotti/awesome-ggplot2
A curated list of awesome ggplot2 tutorials, packages etc.
JBarsotti/BrainAGE-Maturation
JBarsotti/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
JBarsotti/CMAverse
A suite of functions for reproducible causal mediation analyses
JBarsotti/contextualized-topic-models
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
JBarsotti/dcurves
Decision Curve Analysis
JBarsotti/dCVnet
an R package for prediction modelling - extending glmnet with double cross-validation
JBarsotti/DeepCor
fMRI denoising based on deep learning
JBarsotti/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
JBarsotti/FastSurfer
PyTorch implementation of FastSurferCNN
JBarsotti/ggstatsplot
Enhancing {ggplot2} plots with statistical analysis 📊📣
JBarsotti/holoviz
High-level tools to simplify visualization in Python.
JBarsotti/keras-explainability
JBarsotti/marginaleffects
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 80 classes of statistical models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference.
JBarsotti/medspacy
Library for clinical NLP with spaCy.
JBarsotti/modelsummary
Beautiful and customizable model summaries in R.
JBarsotti/ploomber
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
JBarsotti/PtitPrince
python version of raincloud
JBarsotti/PyBrainAge
JBarsotti/pycox
Survival analysis with PyTorch
JBarsotti/pygwalker
PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis
JBarsotti/PyHealth
A Python Library for Healthcare Predictive Tasks
JBarsotti/SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
JBarsotti/scikit-llm
Seamlessly integrate LLMs into scikit-learn.
JBarsotti/scispacy
A full spaCy pipeline and models for scientific/biomedical documents.
JBarsotti/sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
JBarsotti/sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
JBarsotti/visualkeras
Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most m