Books — PyTorch

RU
Artificial Intelligence and Machine Learning for Programmers in PyTorch

Artificial Intelligence and Machine Learning for Programmers in PyTorch

A

Лоуренс Морони

AI and ML
EN
Building Scalable Deep Learning Pipelines on AWS: Develop, Train, and Deploy Deep Learning Models

Building Scalable Deep Learning Pipelines on AWS: Develop, Train, and Deploy Deep Learning Models

A

Abdelaziz Testas

DevOps and Infrastructure
EN
Linear Algebra for Data Science with Python

Linear Algebra for Data Science with Python

A

John M. Shea

AI and ML
RU
Multi-Agent Reinforcement Learning

Multi-Agent Reinforcement Learning

B

А.Н. Алфимцев

AI and ML
EN
AI Systems Performance Engineering

AI Systems Performance Engineering

A

Chris Fregly

OS and System
EN
Accelerate Model Training with PyTorch 2.X

Accelerate Model Training with PyTorch 2.X

A

Maicon Melo Alves

AI and ML
EN
Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch

Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch

A

Adi Polak

AI and ML
EN
Machine Learning with PyTorch and Scikit-Learn

Machine Learning with PyTorch and Scikit-Learn

A

Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili

AI and ML
RU
Deep Learning and Data Analysis. A Practical Guide

Deep Learning and Data Analysis. A Practical Guide

A

Дмитрий Малов

AI and ML
RU
Python for Machine Learning

Python for Machine Learning

A

Неизвестен

AI and ML
EN
The Practical Guide to Large Language Models: Hands-On AI Applications with Hugging Face Transformers

The Practical Guide to Large Language Models: Hands-On AI Applications with Hugging Face Transformers

A

Ivan Gridin

AI and ML
EN
Building Large Language Models from Scratch: Design, Train, and Deploy LLMs with PyTorch

Building Large Language Models from Scratch: Design, Train, and Deploy LLMs with PyTorch

A

Dilyan Grigorov

AI and ML
EN
Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques

Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques

A

M. Arshad Siddiqui

AI and ML
RU
Deep Learning for Computer Vision Systems

Deep Learning for Computer Vision Systems

A

М. В. Ронкин, А. Ю. Долганов

AI and ML
RU
PyTorch. Illuminating Deep Learning

PyTorch. Illuminating Deep Learning

A

Эли Стивенс, Лука Антига, Томас Виман

AI and ML
RU
Machine Learning with PyTorch and Scikit-Learn

Machine Learning with PyTorch and Scikit-Learn

A

Себастьян Рашка, Юси (Хэйден) Лю, Вахид Мирджалили

AI and ML
RU
Building an LLM from Scratch

Building an LLM from Scratch

A

Себастьян Рашка

AI and ML
RU
Natural Language Processing in Action. 2nd Edition

Natural Language Processing in Action. 2nd Edition

A

Хобсон Лейн, Мария Дышель

AI and ML
EN
Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

A

Anand Trivedi

AI and ML
EN
Modern Computer Vision with PyTorch. Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Modern Computer Vision with PyTorch. Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

A

V Kishore Ayyadevara, Yeshwanth Reddy

AI and ML
EN
AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

A

Laurence Moroney

AI and ML
EN
Modern Time Series Forecasting with Python. Second Edition

Modern Time Series Forecasting with Python. Second Edition

A

Manu Joseph, Jeffrey Tackes

AI and ML
EN
Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

A

Howard Huang, Eli Stevens, Luca Antiga, Thomas Viehmann

AI and ML
EN
PyTorch: The Practical Guide

PyTorch: The Practical Guide

A

Bert Gollnick

AI and ML
EN
Applied Natural Language Processing with PyTorch 2.0: Master Advanced NLP Techniques, Transform Text Data into Insights, and Build Scalable AI Models with PyTorch 2.0

Applied Natural Language Processing with PyTorch 2.0: Master Advanced NLP Techniques, Transform Text Data into Insights, and Build Scalable AI Models with PyTorch 2.0

A

Dr. Deepti Chopra

AI and ML
EN
Math and Architectures of Deep Learning

Math and Architectures of Deep Learning

A

Krishnendu Chaudhury, Ananya H. Ashok, Sujay Narumanchi, Devashish Shankar

AI and ML
RU
Deep Learning with Python. Keras, TensorFlow, PyTorch

Deep Learning with Python. Keras, TensorFlow, PyTorch

B

Антонио Гулли, Амит Капур

AI and ML
EN
Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

A

Aurélien Géron

AI and ML
EN
Parallel and High Performance Programming with Python: Unlock Parallel and Concurrent Programming in Python using Multithreading, CUDA, Pytorch, and Dask

Parallel and High Performance Programming with Python: Unlock Parallel and Concurrent Programming in Python using Multithreading, CUDA, Pytorch, and Dask

A

Fabio Nelli

Programming languages
RU
Deep Learning with Python. The Complete Guide to Building Artificial Intelligence Applications

Deep Learning with Python. The Complete Guide to Building Artificial Intelligence Applications

B

Александр Гладков, Евгений Бурнаев

AI and ML
RU
Fundamentals of Artificial Intelligence: A Non-Technical Introduction

Fundamentals of Artificial Intelligence: A Non-Technical Introduction

A

Том Таулли

AI and ML
RU
Python Programming for Machine Learning: From Fundamentals to Building Intelligent Applications

Python Programming for Machine Learning: From Fundamentals to Building Intelligent Applications

B

Игорь Семененко

AI and ML
RU
Programming with PyTorch: Building Deep Learning Applications

Programming with PyTorch: Building Deep Learning Applications

A

Ян Пойнтер (Ian Pointer)

AI and ML
RU
Reinforcement Learning with PyTorch: A Cookbook

Reinforcement Learning with PyTorch: A Cookbook

A

Юси (Хэйден) Лю

AI and ML
RU
Neural Networks in Python. Fundamentals of AI and Machine Learning

Neural Networks in Python. Fundamentals of AI and Machine Learning

A

Куликова И. В.

AI and ML
RU
Deep Learning with fastai and PyTorch: Minimal Formulas, Minimal Code, Maximum Efficiency

Deep Learning with fastai and PyTorch: Minimal Formulas, Minimal Code, Maximum Efficiency

A

Джереми Ховард и Сильвейн Гуггер

AI and ML
RU
Introduction to PyTorch: Deep Learning for Natural Language Processing

Introduction to PyTorch: Deep Learning for Natural Language Processing

A

Делип Рао, Брайан Макмахан

AI and ML
RU
Solving Deep Learning Problems Using PyTorch and PyTorch Lightning Frameworks

Solving Deep Learning Problems Using PyTorch and PyTorch Lightning Frameworks

A

А. И. Елисеев, Ю. В. Минин, Ю. В. Кулаков

AI and ML
RU
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

A

Кайл Галлатин, Крис Элбон

AI and ML
EN
Deep Reinforcement Learning with Python: RLHF for Chatbots and Large Language Models, Second Edition

Deep Reinforcement Learning with Python: RLHF for Chatbots and Large Language Models, Second Edition

A

Nimish Sanghi

AI and ML
EN
Build a Large Language Model (From Scratch)

Build a Large Language Model (From Scratch)

A

Sebastian Raschka

AI and ML
EN
Python Deep Learning

Python Deep Learning

A

Ivan Vasilev

AI and ML
EN
Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

A

Maxime Labonne

AI and ML
EN
Explainable AI for Practitioners: Designing and Implementing Explainable ML Solutions

Explainable AI for Practitioners: Designing and Implementing Explainable ML Solutions

A

Michael Munn, David Pitman

AI and ML
EN
Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

A

Suneeta Mall

AI and ML
EN
Python Machine Learning By Example. Fourth Edition

Python Machine Learning By Example. Fourth Edition

A

Yuxi (Hayden) Liu

AI and ML
EN
Learn Generative AI with PyTorch

Learn Generative AI with PyTorch

A

Mark Liu

AI and ML
EN
Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide

Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide

A

Daniel Voigt Godoy

AI and ML
EN
Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

A

Vitor Cerqueira, Luís Roque

AI and ML
EN
Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications

Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications

A

Harsh Bhasin

AI and ML
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