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Examples and guides for using the OpenAI API
Learn how to develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A game theoretic approach to explain the output of any machine learning model.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
StableLM: Stability AI Language Models
Kubernetes community content
Learn ML engineering for free in 4 months! Register here 👇🏼
The "Python Machine Learning (1st edition)" book code repository and info resource
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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…
Visualizations for machine learning datasets
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Flax is a neural network library for JAX that is designed for flexibility.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
NVIDIA Isaac GR00T N1.6 - A Foundation Model for Generalist Robots.
A course in reinforcement learning in the wild
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Code for Tensorflow Machine Learning Cookbook
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
Create delightful software with Jupyter Notebooks
Reference models and tools for Cloud TPUs.
Book about interpretable machine learning
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.