1045 Open source projects that are alternatives of or similar to frovedis

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

A simplified, lightweight ETL Framework based on Apache Spark

🎓 Jupyter notebooks from UFC data science course

A Clojure dataframe library that runs on Spark

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Distributed scikit-learn meta-estimators in PySpark

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MPI Parallel framework for training deep learning models built in Theano

distributed dataflows with functional list operations for data processing with C++14

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

MLeap: Deploy ML Pipelines to Production

Realtime calculation distributed system. AKA distributed lodash

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PySpark + Scikit-learn = Sparkit-learn

Distributed Deep learning with Keras & Spark

Code for polyaxon tutorials and examples

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MLOps Platform

Machine Learning Operator & Controller for Kubernetes

low-level helpers for Apache Spark libraries and tests

Visualize column-level data lineage in Spark SQL

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

A library for performing hyperparameter optimization

Apache Spark docker container image (Standalone mode)

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Algorithms for implementation of Clock Synchronization, Consistency, Mutual Exclusion, Leader Election

A showcase for Proto.Actor - an ultra-fast distributed actors solution for Go, C#, and Java/Kotlin.

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Identifies and collects data on cc-licensed content across web crawl data and public apis.

ARCHIVE of monorepo implementing Boba, an L2 Compute solution built on Optimistic Ethereum - active repo is at https://github.com/bobanetwork/boba

Tool to run many small MPI jobs inside of one large MPI job.

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

A reading list on blockchain and related technologies, targeted at technical people who want a deep understanding of those topics.

简单的可视化湖州通话数据 假设数据量很大，没法用浏览器直接绘制热力图，把绘制热力图这一步骤放到线下计算分析。使用Apache Spark并行计算数据之后，再使用Apache Spark绘制热力图，然后用leafletjs加载OpenStreetMap图层和热力图图层，以达到良好的交互效果。现在使用Apache Spark实现绘制，可能是Apache Spark不擅长这方面的计算或者是我没有设计好算法，并行计算的速度比不上单机计算。Apache Spark绘制热力图和计算代码在这 https://github.com/yuanzhaokang/ParallelizeHeatmap.git .

A parallel implementation of word2vec based on Spark

DevOps code to deploy eScience services

Some class materials for a data processing course using PySpark

'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev

A collection of awesome scripts from developers around the globe.

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关注AI模型上线、模型部署

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

spark on kubernetes

Python Machine Learning Algorithms

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

基于Spark2.2新闻网大数据实时系统项目

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Apache Spark Sentry Integration

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Sparkline BI Accelerator provides fast ad-hoc query capability over Logical Cubes. This has been folded into our SNAP Platform(http://bit.ly/2oBJSpP) an Integrated BI platform on Apache Spark.

🚀 R package future.batchtools: A Future API for Parallel and Distributed Processing using batchtools

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

An implementation of multivariate projection pursuit regression and univariate classification

핸즈온 머신러닝 2/E의 주피터 노트북

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

ICDSS Machine Learning Workshop Series: Linear Models

This repository consists for gpu bootcamp material for HPC and AI

Load embeddings and featurize your sentences.

A dynamic microsimulation framework for python

My presentation at ODSC India 2018 about Deep Learning with Apache Spark