Repository Index

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.

• python
• machine-learning
• deep-learning
• data-science

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

• machine-learning
• ai
• ml
• mlflow

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

• pandas-profiling
• pandas-dataframe
• statistics
• jupyter-notebook

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

• tensorflow
• spark
• yahoo
• machine-learning

:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

• spark
• pyspark
• data-wrangling
• bigdata

PySpark + Scikit-learn = Sparkit-learn

• scikit-learn
• apache-spark
• machine-learning
• distributed-computing