Ginopastino

Ginopastino's Stars

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.9k2452.5k3.3k

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python10.9k1191.7k1k

• rawgraphs/rawgraphs-app

  A web interface to create custom vector-based visualizations on top of RAWGraphs core

  Language:JavaScript8.7k3233041.8k

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.6k2001.1k986

• alphacep/vosk-api

  Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

  Language:Jupyter Notebook8.1k1191.5k1.1k

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.9k1313651.5k

• ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide

  Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

  7.5k211141k

• Layout-Parser/layout-parser

  A Unified Toolkit for Deep Learning Based Document Image Analysis

  Language:Python4.9k74149470

• aws/aws-sdk-pandas

  pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

  Language:Python3.9k601.2k701

• google-research/albert

  ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

  Language:Python3.2k72182570

• ml-tooling/opyrator

  🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

  Language:Python3.1k4931157

• zhoushengisnoob/DeepClustering

  Methods and Implements of Deep Clustering

  2.8k6014415

• pyro-ppl/numpyro

  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

  Language:Python2.2k53781241

• shervinea/mit-15-003-data-science-tools

  Study guides for MIT's 15.003 Data Science Tools

  1.8k643362

• pavlin-policar/openTSNE

  Extensible, parallel implementations of t-SNE

  Language:Python1.5k22137163

• 8080labs/ppscore

  Predictive Power Score (PPS) in Python

  Language:Python1.1k2762167

• easystats/performance

  :muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

  Language:R1k2846794

• Ekeany/Boruta-Shap

  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.

  Language:Python582147188

• ColCarroll/ridge_map

  Ridge plots of ridges

  Language:Python521122149

• BCG-X-Official/facet

  Human-explainable AI.

  Language:Jupyter Notebook514123046

• fehiepsi/rethinking-numpyro

  Statistical Rethinking (2nd ed.) with NumPyro

  Language:Jupyter Notebook446131473

• chris1610/sidetable

  sidetable builds simple but useful summary tables of your data

  Language:Python384102629

• wayfair/pylift

  Uplift modeling package.

  Language:Python371212878

• avanetten/yoltv4

  Better, faster, peering over yonder. Improved large scale object detection in aerial/satellite imagery.

  Language:Jupyter Notebook191101454

• Lkruitwagen/global-fossil-fuel-supply-chain

  The global fossil fuel supply chain, mapped at the asset-level.

  Language:Jupyter Notebook18561112

• TripathiAshutosh/FastAPI

  Microservice creation and Machine Learning Model Deployment using FastAPI

  Language:Jupyter Notebook1134028

• ModelOriented/iBreakDown

  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)

  Language:R81105715

• mayhewsw/pytorch-truecaser

  A simple neural truecaser written in pytorch and allennlp.

  Language:Python31638

• nairouz/DynAE

  Language:Python300211

• hmix13/AutoViz

  Language:Jupyter Notebook233014