TensorFlow tutorials and best practices.
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Toturials coming with the "data science roadmap" picture.
Kubernetes application example tutorials
:dolphin: A comprehensive tutorial on getting started with Docker!
- docker
- tutorials
- cloud-computing
- microservices
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Deep Learning Tutorial notes and code. See the wiki for more info.
Tutorial for the Vulkan graphics and compute API
Examples and Tutorials of Event Sourcing in .NET
- event-sourcing
- cqrs
- dotnet-core
- example
:earth_americas: machine learning tutorials (mainly in Python3)
XDP tutorial
Nginx Tutorials
TranslatedCAPTCHA recognition
- captcha-breaking
- keras-tutorials
- deep-learning
- keras
TensorFlow Tutorials
- tensorflow-tutorials
- convolutional-neural-networks
- recurrent-neural-networks
Guidelines and training material to write secure smart contracts
The repository host gives no description.
Ansible tutorial
Handout for the tutorial "Creating publication-quality figures with matplotlib"
From Shell to Plate: Savor the Zest of Fish 🦞
An extensive tutorial on RxJava
TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.
- agent
- large-language-models
- llm
- llm-learning