Dracula Alternatives

Similar projects and alternatives to dracula

• stylegan2-projecting-images

  135 282 10.0 Jupyter Notebook dracula VS stylegan2-projecting-images

  Projecting images to latent space with StyleGAN2.

• Gather-Deployment

  1 350 4.0 Jupyter Notebook dracula VS Gather-Deployment

  Gathers Python deployment, infrastructure and practices.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• WallStreetBets_BigDataAnalysis

  1 165 0.0 Jupyter Notebook dracula VS WallStreetBets_BigDataAnalysis

  Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏

• russo-ukraine-war-prediction-losses

  2 0 10.0 Jupyter Notebook dracula VS russo-ukraine-war-prediction-losses

  Highlights rusian losses with predictions based on historic data from Ministry Defence of Ukraine 🐱‍👤

• synapse-azure-data-explorer-101

  1 4 0.0 Jupyter Notebook dracula VS synapse-azure-data-explorer-101

  Getting started with Azure Synapse and Azure Data Explorer

• project-atlas-sao-paulo

  2 9 5.5 Jupyter Notebook dracula VS project-atlas-sao-paulo

  A project for the development of rich geospatial data from the city of São Paulo for use in Machine Learning models.

• homemade-machine-learning

  7 22,531 3.8 Jupyter Notebook dracula VS homemade-machine-learning

  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Digital-Learning-During-COVID19-EDA

  1 1 0.0 Jupyter Notebook dracula VS Digital-Learning-During-COVID19-EDA

  In this project, we will be using data analysis tools to figure out trends in digital learning and how it is effective towards improvised communities. We will be comparing districts and states on factors like demography, internet access, learning product access, and finance.