Benchmark designed to evaluate the performance and cost-effectiveness of vector databases.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy

milvus-operator

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Write scalable load tests in plain Python 🚗💨

A data migration tool for Milvus.

Python SDK for Milvus Vector Database

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

The missing star history graph of GitHub repos - https://star-history.com

[Deprecated] project moved to https://github.com/timqian/star-history as a mono repo

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

JuiceFS is a distributed POSIX file system built on top of Redis and S3.

Import and export tools for elasticsearch & opensearch

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo…

Prometheus官网的非官方中文手册，旨在为大家提供一个比较容易入手的文档。翻译得不好，请大家多多包涵，并帮忙修订校正

The Prometheus monitoring system and time series database.

it contains some open source ocr code

FiLM: Visual Reasoning with a General Conditioning Layer

Inferring and Executing Programs for Visual Reasoning

使用LSTM训练生成古诗模型，其中生成器可以指定生成风格进行输出

deep learning, image retrieval, vision and language

Recipe Generation from Food Images

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

A lightweight, scalable, and general framework for visual question answering research

Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)

Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering

Code for our paper: Learning Conditioned Graph Structures for Interpretable Visual Question Answering

Neural-symbolic visual question answering