client VS analog-watch-recognition

Compare client vs analog-watch-recognition and see what are their differences.

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client analog-watch-recognition
2 1
90 19
- -
9.8 4.0
about 4 hours ago almost 1 year ago
Python Python
MIT License MIT License
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.

client

Posts with mentions or reviews of client. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-02.

analog-watch-recognition

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

What are some alternatives?

When comparing client and analog-watch-recognition you can also consider the following projects:

features - A collection of development container 'features' for machine learning and data science

CPPE-Dataset - Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

pubmedflow - Data Collection API for pubmed

StrayVisualizer - Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html

igel - a delightful machine learning tool that allows you to train, test, and use models without writing code

datatap-python - Focus on Algorithm Design, Not on Data Wrangling

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

dvc - 🦉 ML Experiments and Data Management with Git

visionner - Visionner turn raw image data into numpy array, more suitable for deep learning task