Code for Tensorflow Machine Learning Cookbook
- tensorflow
- tensorflow-cookbook
- linear-regression
- neural-network
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Code for Tensorflow Machine Learning Cookbook
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Code from various chapters in OSTEP (http://www.ostep.org)
📦 Module thinking, principles, design patterns and best practices.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
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Code repository for the examples from the Packt book "Learning Threejs"
Various translations of OSTEP can be found here. Help the cause and contribute!
Hands-on Deep Reinforcement Learning, published by Packt
Building R packages
Code repository for Vulkan Cookbook by Packt
Practical Gremlin - An Apache TinkerPop Tutorial
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
Code repository for Learning Vulkan, published by Packt
Code repository for Mastering Qt 5 published by Packt
The code repository for the prototypes included in the eBook "Inspired EHRs - Designing for Clinicians" (inspiredEHRs.gov). The code of the prototypes is made available under the Apache 2.0 open source license. This license agreement allows anyone to freely use the code and ideas presented in this book, subject to the conditions listed at http://opensource.org/licenses/Apache-2.0.
Code repository for Qt5 C++ GUI Programming Cookbook, published by Packt
Mobile Deep Learning Projects, published by Packt