analog-watch-recognition VS datatap-python

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

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analog-watch-recognition datatap-python
1 9
19 34
- -
4.0 0.0
about 1 year ago almost 2 years ago
Python Python
MIT License GNU General Public License v3.0 only
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.

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.

datatap-python

Posts with mentions or reviews of datatap-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-06.

What are some alternatives?

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

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

simpleT5 - simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

client - DagsHub client libraries

whylogs - An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

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

seq2seq - A general-purpose encoder-decoder framework for Tensorflow

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

coral-cnn - Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

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.

iterative-stratification - scikit-learn cross validators for iterative stratification of multilabel data

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

Schematics - Python Data Structures for Humans™.