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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.
Deeplearning4j13,397175119a month ago54August 10, 2022624apache-2.0Java
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
H2o 36,61862333 months ago49August 09, 20232,746apache-2.0Jupyter 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.
Bigdl4,728103 months ago16April 19, 2021958apache-2.0Jupyter Notebook
Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using bigdl-llm
Tensorflowonspark3,851
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TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Xlearning1,729
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Caffeonspark1,272
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Distributed deep learning on Hadoop and Spark clusters.
Tony69726 months ago52May 26, 202226otherJava
TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
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6 years ago2October 26, 201735gpl-3.0Python
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
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Suite of parallel iterative algorithms built on top of Iterative Reduce
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