alessiobernardo

alessiobernardo's Stars

• PAIR-code/facets

  Visualizations for machine learning datasets

  Language:Jupyter Notebook7.4k268159886

• garrettj403/SciencePlots

  Matplotlib styles for scientific plotting

  Language:Python7.3k6495714

• erxes/erxes

  Source available experience management infrastructure. Pioneering the future of experiences with XOS (Experience Operating System). Hubspot + Qualtrics alternative

  Language:TypeScript3.6k1002.3k1.1k

• ameraner/dsen2-cr

  DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.

  Language:Python14222629

• MIMII-hitachi/mimii_baseline

  A baseline sample code of anomaly detection for MIMII Dataset

  Language:Python994434

• adaptive-machine-learning/CapyMOA

  Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.

  Language:Jupyter Notebook7092126

• reidemeister94/confluence-gpt

  Python script that uses ChatGPT to automatically generate Confluence pages

  Language:Python48417

• SeeedDocument/wiki_english

  Language:JavaScript4711054

• iofoundry/ontology

  Language:HTML43262513

• edgeimpulse/expert-projects

  Language:Python3815115

• drimpossible/ACM

  Codebase for adaptive continual memory

  Language:Python12200

• pavmassimo/TyBox

  Language:Jupyter Notebook111

• big-data-lab-team/OrpailleCC

  A consistent collection of data stream algorithms for embedded systems

  Language:C++93104

• harvard-edge/TinyML-Footprint

  9501

• Haoyu-R/How-to-Manage-TinyML-at-Scale

  This is the repo for hosting the code and examples of paper "How to Manage TinyML at Scale"

  Language:C++8200

• scikit-ika/scikit-ika

  A real-time adaptive predictive system for evolving data streams. Inspired by MOA and scikit-multiflow, following Scikit's philosophy.

  Language:Python8511

• lucasczz/DAADS

  Codebase for the ECML PKDD 2022 Research Paper: Detecting Anomalies with Autoencoders on Data Streams

  Language:Python6104

• nathanloop/SnmpPoller

  Simple SNMP Poller in Python

  Language:Python5106

• sequential-parameter-optimization/spotGUI

  GUI for spotPython

  Language:Python4110

• Chaoukia/Thompson-Sampling-Decision-Trees

  Online Learning of Decision Trees via Monte Carlo Tree Search with a Thompson Sampling policy

  Language:Jupyter Notebook3101

• gist-ailab/BattleSound

  Language:Jupyter Notebook3212

• LorenzoCutrupi/Anomalous-Sound-Detection---Project-for-the-course-Streaming-Data-Analytics-

  Language:Jupyter Notebook3100

• ericonuki/moa-bringing-awareness-green-ict

  This repository is part of the requirements for obtaining the title of Master of Science

  Language:Java210

• ledio7/ADBench

  Benchmark for unsupervised learning algorithms applied to anomaly detection

  Language:Python2200

• migueleps/metro-anomaly-ECML2023

  Repository to store code necessary to reproduce the experiments in the paper

  Language:Python2

• alemolteni/codecarbon_project

  Language:Jupyter Notebook1100

• FlavioRenzi/EmbeddedSML

  Language:C++1100

• FlavioRenzi/RaspberryPi-Enviromental-Data-Logger

  Language:Python1100

• hmgomes/MOA-API-Demo

  Sample java code showing how to use the MOA (Massive Online Analysis) framework

  Language:Java1200

• saratona/LSTM-Autoencoder-for-Anomaly-Detection

  Language:Jupyter Notebook110