Popular GitHub Repositories for Elastic Beanstalk

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

Notebooks & Example Apps for Search & AI Applications with Elasticsearch

飞桨大模型开发套件，提供大语言模型、跨模态大模型、生物计算大模型等领域的全流程开发工具链。

H2Oai GPU Edition

基于 Java Web 项目的 SpringBoot 框架初始化模板，该模板整合了常用的框架（Mybatis-Plus、ShardingSphere、Redis、RabbitMQ、Elasticsearch、SaToken、OSS、Caffeine以及MongoDB等），广泛支持JDK11和JDK17，部分版本兼容JDK8，同时接入了Spring AI，该模板适用于前后端分离项目启动开发，保证大家在此基础上能够快速开发自己的项目，同时也适合入门学习，本项目会由作者持续更新。

A flexible, adaptive classification system for dynamic text classification

Python based Open Source ETL tools for file crawling, document processing (text extraction, OCR), content analysis (Entity Extraction & Named Entity Recognition) & data enrichment (annotation) pipelines & ingestor to Solr or Elastic search index & linked data graph database

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT

Um template para criar um FAQ chatbot usando Rasa, Rocket.chat, elastic search

Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.

Official repository of CVPRW2022 paper, ElasticFace: Elastic Margin Loss for Deep Face Recognition

Elastic weight consolidation technique for incremental learning.

Tutorial on deploying machine learning models to production

This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples