NudeNet VS Finance-Using-Python

Compare NudeNet vs Finance-Using-Python and see what are their differences.

Finance-Using-Python

This product helps to understand the stocks in visual manner and as well as it saves the record. And help to predict the data (by Aaris-Kazi)
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NudeNet Finance-Using-Python
7 1
832 0
- -
3.6 2.6
over 2 years ago almost 3 years ago
Python Python
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.

NudeNet

Posts with mentions or reviews of NudeNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-09.

Finance-Using-Python

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

What are some alternatives?

When comparing NudeNet and Finance-Using-Python you can also consider the following projects:

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

tslearn - The machine learning toolkit for time series analysis in Python

nsfw_model - Keras model of NSFW detector

NudeNet-models - Pre-trained models for https://github.com/bedapudi6788/NudeNet

pytorch2keras - PyTorch to Keras model convertor

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

test-lists - URL testing lists intended for discovering website censorship

lewd-stopper - A Discord bot that uses a neural network to automatically remove NSFW content outside of NSFW channels

better_profanity - Blazingly fast cleaning swear words (and their leetspeak) in strings