saibaldasprivate's repositories
100-go-mistakes
📖 100 Go Mistakes and How to Avoid Them
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Applied-Machine-Learning-Explainability-Techniques
Applied Machine Learning Explainability Techniques, published by Packt
asp-dot-net-core-in-action-3e
Source code examples for ASP.NET Core in Action, Third Edition
Data-Storytelling-with-Generative-AI-Using-Python-and-Altair
The official repository of the book Data Storytelling with Python Altair and Generative AI
Deep-Learning-for-Causal-Inference
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
efficientgo
"Efficient Go" Book Code Examples
generative-ai-on-aws
Generative AI on AWS
generative_ai_with_langchain
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
Genrative_AI_for_Data_Analytics
Depository of materials accompanying GTP Driven Data Analytics book by Manning.
kubernetes-for-developers
Code samples and experiments to accompany the book Kubernetes for Developers, by William Denniss.
kubernetes-training
Kubernetes training from basics to advanced
LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
OpenAIWorkshop
workshop materials to build intelligent solutions on Open AI
pro-angular-16
Source Code for "Pro Angular 16" by Adam Freeman
PyTorchStepByStep
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
cpsc330-2022W1
CPSC 330: Applied Machine Learning
optimization-algorithms
Code Listings for the book: Optimization Algorithms. Manning Publications, 2023.
Tiny-PowerShell-Projects
Learning PowerShell through test-driven development of games and puzzles