Python Data Science Handbook: full text in Jupyter Notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Kubernetes community content

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Probabilistic reasoning and statistical analysis in TensorFlow

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Explainable AI with Python, published by Packt

Demos associated with the kernel gateway incubator project

files and instructions for creating and using example containers from the sylabs.io blog

Apache Toree quickstart tutorial

Master the essential steps of pretraining large language models (LLMs). Learn to create high-quality datasets, configure model architectures, execute training runs, and assess model performance for…

implementing the distributed tensorflow with resnet model on cifar,imagenet ,with ps model or horovod model

retention models to forecast churn