Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
Easily download all the photos/videos from tumblr blogs. 下载指定的 Tumblr 博客中的图片，视频
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Helpful tools and examples for working with flex-attention
Official code and checkpoint release for mobile robot foundation models: GNM, ViNT, and NoMaD.
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Learn how to build your own Google Jobs scraper that simultaneously scrapes Google Jobs for multiple search queries and geo-locations with Python and Oxylabs’ Google Jobs Scraper API. https://oxylabs.io/blog/how-to-scrape-google-jobs
PyTorch Implementation of AudioLCM (ACM-MM'24): a efficient and high-quality text-to-audio generation with latent consistency model.
<6개월 치 업무를 하루 만에 끝내는 업무 자동화(생능출판사, 2020)>의 예제 코드입니다. 파이썬을 한 번도 배워본 적 없는 분들을 위한 예제이며, 엑셀부터 디자인, 매크로, 크롤링까지 업무 자동화와 관련된 다양한 분야 예제가 제공됩니다.