Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Implement a reasoning LLM in PyTorch from scratch, step by step

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

Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al.

Implement a Pytorch-like DL library in C++ from scratch, step by step

Building Agents with Imagination: pytorch step-by-step implementation

教你只用最基本的python语法和numpy一步步实现深度学习框架

BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python

lm-scratch-pytorch - The code is designed to be beginner-friendly, with a focus on understanding the fundamentals of PyTorch and implementing LLMs from scratch,step by step.

Build a ChatGPT like LLM from scratch in PyTorch, explained step by step.

This repository contains a step-by-step implementation of a ChatGPT-like model from scratch using PyTorch. It covers everything from tokenization and transformer architecture to training and fine-tuning on conversational data. The course is designed for those who want to deeply understand how large language models work and build their own! 🚀

Step by step guide to create your venv with Tensorflow or Pytorch using CUDA

learning pytorch step by step

ChatGPT-like LLM in PyTorch from scratch, step by step

A step-by-step PyTorch guide for improved vehicle type 2D object detection based on Faster-RCNN using transfer learning and data augmentation.

A step-by-step tutorial about how to use Distributed Data Parallel feature of PyTorch

A practical, hands-on guide to building a small language model from scratch. Learn transformer architecture, attention mechanisms, and training techniques through step-by-step implementation with PyTorch.

In this lecture, we are going to build our own Mini GPT Language Model from scratch using PyTorch! This is a beginner-friendly, step-by-step implementation of a tiny language model that learns to predict the next word, just like how GPT and other Large Language Models work internally.

A step-by-step problem set for implementing a high-quality deep dependency parser in Pytorch

AlphaGo and AlphaGo Zero step-by-step tutorial using TensorFlow and PyTorch

This repository provides hands-on labs on PyTorch-based Distributed Training and SageMaker Distributed Training. It is written to make it easy for beginners to get started, and guides you through step-by-step modifications to the code based on the most basic BERT use cases.

This tutorial is designed for beginners of deep learning, introducing the basics of PyTorch to advanced applications step by step.

This tutorial provide a step-by-step pipeline to install an effective Python set-up optimized for deep learning for Ubuntu LTS, containing libraries to use efficiently the last versions of Tensorflow and Pytorch with the GPU and a comfortable environment of work with flexible and highly customizable IDE (VSCode) and environment manager (Virtualenv/VirtualenvWrapper).

GAN Step By Step -- GSBS，顾名思义，我希望我自己能够一步一步的学习GAN。GAN 又名 生成对抗网络，是最近几年很热门的一种无监督算法，他能生成出非常逼真的照片，图像甚至视频。GAN是一个图像的全新的领域，从2014的GAN的发展现在，在计算机视觉中扮演这越来越重要的角色，并且到每年都能产出各色各样的东西，GAN的理论和发展都蛮多的。我感觉最近有很多人都在学习GAN，但是国内可能缺少比较多的GAN的理论及其实现，所以我也想着和大家一起学习，并且提供主流框架下 **pytorch,tensorflow,keras** 的一些实现教学。 在一个2016年的研讨会，`杨立昆`描述生成式对抗网络是“`机器学习这二十年来最酷的想法`”。

This is a step by step instructions of how to install CUDA, CuDNN, TensorFlow and Pytorch

Unofficial Pytorch implementation of "Mean Flows for One-step Generative Modeling" by Geng et al.

This is the Jupyter notebook for the Medium article titled 'Step-by-step explanation of GANs coding on custom image data in PyTorch'. It was published on Jan 10' 2021.

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This repository provides a step-by-step guide to completely remove, install, and upgrade CUDA, cuDNN, and PyTorch on Windows, including GPU compatibility checks, environment setup, and installation verification.

This repo provides step-by-step implementation of DETR (Detection Transformer) using PyTorch