Apache Spark - A unified analytics engine for large-scale data processing

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.

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

Free Data Engineering course!

Learn and understand Docker&Container technologies, with real DevOps practice!

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GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.

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List of Data Science Cheatsheets to rule the world

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

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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 learn...

Apache Doris is an easy-to-use, high performance and unified analytics database.

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🧙 Build, run, and manage data pipelines for integrating and transforming data.

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

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.

Alluxio, data orchestration for analytics and machine learning in the cloud

A Flexible and Powerful Parameter Server for large-scale machine learning

Python SQL Parser and Transpiler