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/antropy
AntroPy: entropy and complexity of (EEG) time-series in Python
JBarsotti/Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
JBarsotti/BioGPT
JBarsotti/Boruta-Shap
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
JBarsotti/CausalImpact-1
An R package for causal inference in time series
JBarsotti/causalml
Uplift modeling and causal inference with machine learning algorithms
JBarsotti/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
JBarsotti/classification_models_3D
Set of models for classifcation of 3D volumes
JBarsotti/contextily
Context geo-tiles in Python
JBarsotti/CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
JBarsotti/emmeans
Estimated marginal means
JBarsotti/featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code.
JBarsotti/GEKKO
GEKKO Python for Machine Learning and Dynamic Optimization
JBarsotti/ggstance
Horizontal ggplot2 components
JBarsotti/gym
A toolkit for developing and comparing reinforcement learning algorithms.
JBarsotti/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
JBarsotti/lifelines
Survival analysis in Python
JBarsotti/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
JBarsotti/mne-features
MNE-Features software for extracting features from multivariate time series
JBarsotti/nlpaug
Data augmentation for NLP
JBarsotti/parsnip
A tidy unified interface to models
JBarsotti/photonai
PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.
JBarsotti/pyment-public
JBarsotti/pytorch_geometric
Graph Neural Network Library for PyTorch
JBarsotti/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
JBarsotti/RItools
Randomization inference tools for R
JBarsotti/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
JBarsotti/stepmix
A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.
JBarsotti/trax
Trax — Deep Learning with Clear Code and Speed
JBarsotti/verstack