GitHub - h2oai/h2o-3: 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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GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
GitHub - vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources https://github.com/vinta/awesome-python 38 comments
GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
GitHub - h2oai/h2o-2: Please visit https://github.com/h2oai/h2o-3 for latest H2O https://github.com/0xdata/h2o#readme 16 comments
GitHub - h2oai/h2ogpt: Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports LLaMa2, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/ https://github.com/h2oai/h2ogpt 10 comments
GitHub - sxjscience/automl_multimodal_benchmark: Repository for Multimodal AutoML Benchmark https://github.com/sxjscience/automl_multimodal_benchmark 1 comment
Automatic Machine Learning (AutoML) Landscape Survey | by Georgian | Georgian Impact Blog | Medium https://medium.com/georgian-impact-blog/automatic-machine-learning-aml-landscape-survey-f75c3ae3bbf2 1 comment
GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
GitHub - csinva/imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible). https://github.com/csinva/imodels 0 comments
GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
14 open source tools to make the most of machine learning | InfoWorld https://www.infoworld.com/article/3575420/14-open-source-tools-to-make-the-most-of-machine-learning.html 0 comments
GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
GitHub - csinva/imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible). https://github.com/csinva/interpretability-implementations-demos 0 comments
GitHub - newTendermint/awesome-bigdata: A curated list of awesome big data frameworks, ressources and other awesomeness. https://github.com/onurakpolat/awesome-bigdata 0 comments
GitHub - mbadry1/Top-Deep-Learning: Top 200 deep learning Github repositories sorted by the number of stars. https://github.com/mbadry1/Top-Deep-Learning 0 comments
GitHub - h2oai/h2o-3: 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. https://github.com/h2oai/h2o-dev 0 comments

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