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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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- apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
Why this match
topics big-data, java, python; language differs: Jupyter Notebook → Scala
- mrdbourke/zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Why this match
topics data-science, deep-learning, machine-learning
- catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Why this match
topics big-data, data-science, gbm; language differs: Jupyter Notebook → C++
- donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Why this match
topics big-data, data-science, deep-learning; language differs: Jupyter Notebook → Python
- lazyprogrammer/machine_learning_examples
A collection of machine learning examples and tutorials.
Why this match
topics data-science, deep-learning, machine-learning; language differs: Jupyter Notebook → Python
- rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
Why this match
topics data-science, deep-learning, machine-learning; license differs: Apache-2.0 → MIT
- rushter/data-science-blogs
A curated list of data science blogs
Why this match
topics data-science, machine-learning; language differs: Jupyter Notebook → Python
- lightgbm-org/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Why this match
topics distributed, gbm, machine-learning; language differs: Jupyter Notebook → C++; license differs: Apache-2.0 → MIT