Data Science Ipython Notebooks
donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
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Results: 219
donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
drivendataorg
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
alexeygrigorev
Data science interview questions and answers
tensorflow
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Lightning-AI
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
eriklindernoren
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…
alteryx
An open source python library for automated feature engineering
unit8co
A python library for user-friendly forecasting and anomaly detection on time series.
snorkel-team
A system for quickly generating training data with weak supervision
rasbt
A library of extension and helper modules for Python's data analysis and machine learning libraries.
mljar
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Lightning-AI
Machine learning metrics for distributed, scalable PyTorch applications.
feature-engine
Feature engineering and selection open-source Python library compatible with sklearn.