MindSpore online courses: Step into LLM

《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习，欢迎批评指正

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Mathematical derivation and pure Python code implementation of machine learning algorithms.

Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata, lihang]

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Reduce width and depth of quantum circuits by cutting gates and wires.

A Qiskit transpiler stage plugin to enable qubit reuse via mid-circuit measurement and reset.

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…

Quantum Computing represents the next frontier for computer science. In this repo we report the most relevant papers concerning Quantum Perceptrons and Quantum Neural Networks within the Gate Model…

Introduction to Quantum Machine Learning tutorial: Building a quantum perceptron using Microsoft Quantum Development Kit

QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

龙良曲pytorch学习代码及一些模型的复现，包括Unet、Vision Transformer、Swim Transformer、ConvNext、YOLOv3、MAE、Diffusion model等

Repository for the book

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

A resource for learning about Machine learning & Deep Learning