Top 5 naive-baye Open-Source Projects

H2O

10 6,721 9.7 Jupyter Notebook

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.

Project mention: Really struggling with open source models | /r/LocalLLaMA | 2023-07-12

I would use H20 if I were you. You can try out LLMs with a nice GUI. Unless you have some familiarity with the tools needed to run these projects, it can be frustrating. https://h2o.ai/

WallStreetBets_BigDataAnalysis

1 165 0.0 Jupyter Notebook

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

0 68 0.0 Ruby

Ruby Scoring API for PMML
NLU-engine-prototype-benchmarks

1 5 2.6 Jupyter Notebook

Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.
vswift

1 1 9.1 R

Tools created for machine learning model evaluation

Project mention: Seeking Feedback on my R Package for Categorical Model Validation | /r/datascience | 2023-07-03

Here is the repo if anyone is interested: https://github.com/donishadsmith/vswift

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.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).