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Top 5 H2o Open-Source Projects
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H2O
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.
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awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
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InfluxDB
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.
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modeltime.h2o
Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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/
H2o related posts
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Really struggling with open source models
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Democratizing Large Language Models
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Interview AI Coach - by email
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Top 10+ OpenAI Alternatives
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Best machine learning framework(s) for production
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Time Series Analysis - Too Narrow a Dataset / Feature Set?
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A Tiny Grammar of Graphics
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A note from our sponsor - InfluxDB
www.influxdata.com | 10 May 2024
Index
What are some of the best open-source H2o projects? This list will help you:
Project | Stars | |
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1 | H2O | 6,744 |
2 | awesome-gradient-boosting-papers | 981 |
3 | H2O | 951 |
4 | benchmarks | 164 |
5 | modeltime.h2o | 38 |
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