285 skills found · Page 1 of 10
h2oai / H2ogptPrivate chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
h2o / H2oH2O - the optimized HTTP/1, HTTP/2, HTTP/3 server
h2oai / H2o 3H2O 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.
h2oai / H2o LlmstudioH2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
h2oai / H2o 2Please visit https://github.com/h2oai/h2o-3 for latest H2O
szilard / Benchm MlA minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
h2oai / H2o TutorialsTutorials and training material for the H2O Machine Learning Platform
benedekrozemberczki / Awesome Gradient Boosting PapersA curated list of gradient boosting research papers with implementations.
h2oai / Sparkling WaterSparkling Water provides H2O functionality inside Spark cluster
kaeyleo / Jekyll Theme H2O🎉 A clean and delicate Jekyll theme. Jekyll博客主题
kaiwaehner / Kafka Streams Machine Learning ExamplesThis project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
jphall663 / Interpretable Machine Learning With PythonExamples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
h2o / QuiclyA modular QUIC stack designed primarily for H2O
FMInference / H2O[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
h2oai / Mli ResourcesH2O.ai Machine Learning Interpretability Resources
h2oai / H2o4gpuH2Oai GPU Edition
h2oai / H2o MeetupsPresentations from H2O meetups & conferences by the H2O.ai team
thoughtworks / Mlops PlatformsCompare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
h2oai / Awesome H2oA curated list of research, applications and projects built using the H2O Machine Learning platform
matsuu / KataribeAccess log profiler based on response time
