gallery VS chitra

Compare gallery vs chitra and see what are their differences.

gallery

BentoML Example Projects 🎨 (by bentoml)
Machine Learning machine-learning-library model-serving model-management model-deployment aws-sagemaker Serverless aws-lambda gcp-cloud-functions azure-machine-learning Data Science machine-learning-workflow Gallery bentoml

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chitra

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment. (by aniketmaurya)
Tensorflow Image processing object-detection Deep Learning image-dataset Visualization gradcam model-interpretation model-visualization image-classification bounding-boxes model-deployment Mlops model-serving Python Machine Learning Fastapi HacktoberFest Pytorch
Source Code
chitra.readthedocs.io
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gallery chitra
2 1
121 223
- 0.0%
8.4 3.2
over 1 year ago about 1 month ago
Python Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gallery

Posts with mentions or reviews of gallery. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-22.
  • Hello from BentoML
    3 projects | /r/mlops | 22 Jul 2022
    You could check out our gallery project to see how ppl are using. https://github.com/bentoml/gallery

chitra

Posts with mentions or reviews of chitra. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing gallery and chitra you can also consider the following projects:

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

tf-keras-vis - Neural network visualization toolkit for tf.keras

Yatai - Model Deployment at Scale on Kubernetes 🦄️

img2dataset - Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

bentoctl - Fast model deployment on any cloud 🚀

review_object_detection_metrics - 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.

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

pytest-visual - A visual testing framework for ML with automated change detection

pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming

Text2Poster-ICASSP-22 - Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"

imageset-viewer - Pascal VOC BBox Viewer

gallery vs BentoML chitra vs tf-keras-vis gallery vs Yatai chitra vs img2dataset gallery vs bentoctl chitra vs review_object_detection_metrics gallery vs metaflow chitra vs albumentations chitra vs pytest-visual chitra vs pytorch-toolbelt chitra vs Text2Poster-ICASSP-22 chitra vs imageset-viewer