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✨✨Latest Advances on Multimodal Large Language Models
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
BillionsRichard / learn-nlp-with-transformers
Forked from datawhalechina/learn-nlp-with-transformerswe want to create a repo to illustrate usage of transformers in chinese
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
A collection of diffusion models based on MindSpore
Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Open deep learning compiler stack for cpu, gpu and specialized accelerators
A technical report on convolution arithmetic in the context of deep learning
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)【安全加固,暂停交互,请耐心等待】
Sample clean code from book "Agile Principles, Patterns, and Practices in C#"
存放JAVA开发的设计思想、算法:《剑指Offer》、《编程珠玑》、《深入理解Java虚拟机:JVM高级特性与最佳实践》、《重构-改善既有代码的设计 中文版》、《clean_code(中文完整版)》、《Java编程思想(第4版)》、《Java核心技术 卷I (第8版)》、《Quartz_Job+Scheduling_Framework》;一些大的上传不上来的文件在README
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
PyTorch implementation of BTS Depth Estimator
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
郑泽宇等《TensorFlow实战Google深度学习框架》(第二版)学习
Code for some of my articles
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
A collection of pre-trained, state-of-the-art models in the ONNX format
7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) 7天用Go动手写/从零实现系列
The Python micro framework for building web applications.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"