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14 search results found
Skypilot
⭐
4,975
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
Orchest
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3,876
Build data pipelines, the easy way 🛠️
Enterprise
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1,568
🦄 The Enterprise™ programming language
Data Science On Gcp
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1,249
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Reflow
⭐
946
A language and runtime for distributed, incremental data processing in the cloud
Optscale
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854
MLOps and FinOps platform to run ML/AI experiments and regular cloud workloads with optimal performance and cost.
Dataflowjavasdk
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853
Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.
Reactors
⭐
489
🌱 Join a community of developers at Microsoft Reactor and connect with people, skills, and technology to build your career or personal learning. We offer free livestreams, on-demand content, and hybrid/in-person events daily around the world. Access our projects and code here.
Terraform Provider Iterative
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286
☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes
Squirrel Core
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271
A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰
Distributed Ml Patterns
⭐
270
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
Data Science
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269
Projects and awesome list for all Data Science fields
Modal Client
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203
Python client library for Modal
Sc17
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203
SuperComputing 2017 Deep Learning Tutorial
Resources
⭐
199
Get Best Resources on every Domain here!
Python For Data Science
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190
A collection of Jupyter Notebooks for learning Python for Data Science.
Ngff
⭐
100
Next-generation file format (NGFF) specifications for storing bioimaging data in the cloud.
Depmap_omics
⭐
91
What you need to process the Quarterly DepMap-Omics releases from Terra
Ineuron Full Stack Data Science Assignments
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68
This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course
Datadocs
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61
Documentation for data enthusiasts
Xgboost Smote Detect Fraud
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41
Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!
Squirrel Datasets Core
⭐
37
Squirrel dataset hub
Data Engineering And Dataops
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34
Duke MIDS: Data Engineering and DataOps Course
R On Azure
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23
Compilation of R packages and tools for doing data science and AI on Azure cloud
Openghg
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21
A cloud platform for greenhouse gas (GHG) data analysis and collaboration.
Customer Churn Prediction
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17
WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. The repository will be kept available in read-only mode.
Datascience
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16
Build and Deploy Machine Learning Models on the Cloud
Workshops Setup_cloud_analytics_machine
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16
Tips and Tricks to setup a cloud machine for Analytics and Data Science with R, RStudio and Shiny Servers, Python and JupyterLab
Examples
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15
Example projects for getting started with Saturn Cloud
Max Central Repo
⭐
15
Central Repository of Model Asset Exchange project. This repository contains information about the available models, current project status, contribution guidelines and supporting assets.
Rheoceros
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15
Cloud-based AI / ML workflow and data application development framework
Awesome Ai Tutorials
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15
The best collection of AI tutorials to make you a boss of Data Science!
R_bio
⭐
12
바닥부터 시작하는 R + 바이오인포
Dask Saturn
⭐
12
Python library for interacting with Dask clusters in Saturn
Nycbuildingenergyuse
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11
Creating Regression Models Of Building Emissions On Google Cloud
Generate Insights From Data Formats With Watson
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11
How do we process data in different formats like docx, pdf etc and generate insights to be linked with structured data in database?This pattern helps in establishing relations between structured & unstructured data to generate recommendations using Watson NLU & Watson Studio.
Machine Learning Docker Image
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11
Data Science/Machine Learning Docker Image for CPU
Insight_project_framework
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11
Framework for machine learning projects at Insight Data Science
Terrytangyuan.github.com
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11
Personal Blog
Alto
⭐
9
Run any code on the cloud, instantly.
Clusterless
⭐
8
Clusterless is a tool for scheduling decentralized, scalable, and secure data pipelines for continuously arriving data, across clouds.
Cloud Spatial Data Science
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7
Tutorials on how to set up a spatial data science environment on Amazon EC2
Ibmdevday Datascience
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7
Resources for IBM Dev Day-Data Science Track https://ibm.biz/ibmdevday
Bashplot
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6
Instant data plotting from the terminal into the terminal
Iot Device Phone Simulator
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6
A web application which acts as an IoT device when loaded in a smart phone browser. The data from the sensors are then used for Anomaly detection.
Malicious Url V5 Ibm
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6
Revamped Malicious URL Detector, that increased its accuracy by 25% and has enabled Continuous Delivery and a Toolchain which can be used to automate builds, tests, deployments. Django REST framework is used here that uses a REST API call.
Gcp Python Dsclient
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6
Simple Python client for interactive data science with Google Cloud Platform.
Datacareer Guide.github.io
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6
Projeto de código aberto para ajudar as pessoas a ingressarem em carreiras de dados
Xbooks
⭐
5
🐍📓➡️🌐 | SCIENTIFIC 🔬📔 BLOGGING | turn your jupyter notebook project into an educational eLibrary for next generation! |
Tjcloud
⭐
5
TJ Palanca's Personal Cloud
Digital Foundry Demand Forcasting
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5
In tune with conventional big data and data science practitioners’ line of thought, currently causal analysis was the only approach considered for our demand forecasting effort which was applicable across the product portfolio. Experience dictates that not all data are same. Each group of data has different data patterns based on how they were sold and supported over the product life cycle. One-methodology-fits-all is very pleasing from an implementation of view. On a practical ground, one must
Dsdevent1
⭐
5
Data Science Delhi
Healthify Agritech
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5
The project is based on the Idea of Addressing real-life problems in the Agricultural sector and Healthcare sector. It can be also considered as the Minimal Viable Product.
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