There are 2 repositories under mindspore topic.
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
MindSpore online courses: Step into LLM
A toolbox of vision models and algorithms based on MindSpore
A multi-backend graph learning library.
A toolbox of ocr models and algorithms based on MindSpore
A collection of diffusion models based on MindSpore
Natural Language Processing Tutorial for MindSpore Users
A high performance, high expansion, easy to use framework for AI application. 为AI应用的开发者提供一套统一的高性能、易用的编程框架,快速基于AI全栈服务、开发跨端边云的AI行业应用,支持GPU,NPU加速。
《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。
A toolbox of yolo models and algorithms based on MindSpore
A toolbox of audio models and algorithms based on MindSpore
基于MindSpore AI框架实现零售商品识别 top1方案
Pre-trained backbones for TensorLayerX
Implementation of Denoising Diffusion Probabilistic Model in MindSpore
Code of masked relation learning for deepfake detection
MindSpore implementations of Generative Adversarial Networks.
ONNX Model Exporter for TensorLayerX
About MindSpore implementations of various Deep NLP models in cs-224n(Stanford Univ)
MindSpore implementations of deep reinforcement learning algorithms and environments
This course is jointly launched by Huawei and Chongqing University of Posts and Telecommunications, and Dalian University of Technology,matching the HCIA-AI V3.0 (Released on September 17, 2020). Through this course, you will systematically understand the AI development history, the Huawei Ascend AI system, the full-stack all-scenario AI strategy,and the algorithms related to traditional machine learning and deep learning; TensorFlow and MindSpore. HCIA-AI V1.0 will be offline on June 30, 2021.
A Platform-agnostic Computer Vision Application Library
a mindspore implementation of emotion detection model based on ERNIE.
A Visual Question Answering model implemented in MindSpore and PyTorch. The model is a reimplementation of the paper *Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering*. It's our final project for course DL4NLP at ZJU.
About Aspect Based Sentiment Analysis, MindSpore Implementations. 基于方面的情感分析,使用MindSpore实现。
MindSpore tutorials and fun projects including neural talk, neural style, poem writing, anime generation