saibaldasprivate

GoBooks

List of Golang books

efficientgo

"Efficient Go" Book Code Examples

gRPC-Go-for-Professionals

kubernetes-for-developers

Code samples and experiments to accompany the book Kubernetes for Developers, by William Denniss.

diamol

Code samples for the book "Learn Docker in a Month of Lunches"

Genrative_AI_for_Data_Analytics

Depository of materials accompanying GTP Driven Data Analytics book by Manning.

Tiny-PowerShell-Projects

Learning PowerShell through test-driven development of games and puzzles

Machine-Learning-Engineering-with-Python-Second-Edition

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Synthetic-Data-for-Machine-Learning

Synthetic Data for Machine Learning, published by Packt

Streamlit-for-Data-Science

A repo for the book 'Streamlit for Data Science' by Tyler Richards

Debugging-Machine-Learning-Models-with-Python

Debugging Machine Learning Models with Python, published by Packt

concurrency-in-python-with-asyncio

Code for the Manning book Concurrency in Python with Asyncio

Applied-Machine-Learning-Explainability-Techniques

Applied Machine Learning Explainability Techniques, published by Packt

TimeSeriesForecastingInPython

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

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.

asp-dot-net-core-in-action-3e

Source code examples for ASP.NET Core in Action, Third Edition

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.

PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

cpsc330-2022W1

CPSC 330: Applied Machine Learning

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Needle

Imperative deep learning framework with customized GPU and CPU backend

pro-angular-16

Source Code for "Pro Angular 16" by Adam Freeman

llmops-examples

Example code and notebooks related to mlflow, llmops, etc.

CodeT5

Home of CodeT5: Open Code LLMs for Code Understanding and Generation

cs224n-win2223

Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023

CodeGen

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

feature-selection-for-machine-learning

Code repository for the online course Feature Selection for Machine Learning

grpc-up-and-running

Samples of the book gRPC Up and Running. Each sample is based on a real-world use case and details of the use case can be found in the respective chapter of the book.