micseb Goto Github PK

hybrid-rs-trainner

Conjunto de scripts para treinar um Sistema de Recomendação Híbrido baseado nos algoritmos do scikit-learn

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

ibmpredictiveanalytics.github.io

Organization page

identifying_fraud_from_enron_emails_using_machine_learning

The fraud identification models were build using Python Scikit-learn machine-learning module.

image2image

Search images with image featurization and pre-trained deep learning models

image_keras

Building an image classifier using keras

imageatm

Image classification for everyone.

iml

iml: interpretable machine learning R package

income-tax-fraud-detection

Income tax Fraud Detection using machine learning Exploratory data analysis and backtracking in block chain

incubator-zeppelin

Mirror of Apache Zeppelin (Incubating)

insights-samples

Example code and applications illustrating Apigee Insights, a platform for analyzing big data.

intermarche_challenge

[Intemarché] Sales forecasting challenge

interpretable-ml-book

Book about interpretable machine learning

interpreting_ml_tuto

Tutorial on interpreting and understanding machine learning models

interpretml

Fit interpretable models. Explain blackbox machine learning.

intro-to-ml-with-kubeflow-examples

[WIP] Examples for the Intro to ML with Kubeflow book

introduction-to-computer-vision

Repository for a video lecture I gave at MIT Blueprints 2017 (Introduction to Computer Vision)

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

jumanji

🌴 A Suite of Industry-Driven Hardware-Accelerated RL Environments written in JAX

jupyterhub

Multi-user server for Jupyter notebooks

jupyterhub-ansible-deploy

Provisioning a datalab with jupyterhub and tons of data science libraries for Python, R, and Scala

jupyterhub-tutorial

Tutorial materials for deploying JupyterHub

jupyterlab-kubeflow-kale

JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment

kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, DeepLearning4 and other technologies.

kale

Convert a JupyterNotebook to a Kubeflow Pipeline deployment.

karateclub

A general purpose community detection and network embedding library for research built on NetworkX.

katana-assistant

Text based assistant powered by Machine Learning and NLP

kedro

A Python library that helps you create reproducible, maintainable and modular data science code.

kepler.gl

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.