wtte-rnn VS easyesn

Compare wtte-rnn vs easyesn and see what are their differences.

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wtte-rnn easyesn
3 1
756 131
- 0.0%
0.0 2.6
over 3 years ago over 3 years ago
Python Python
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.

wtte-rnn

Posts with mentions or reviews of wtte-rnn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-24.

easyesn

Posts with mentions or reviews of easyesn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-22.

What are some alternatives?

When comparing wtte-rnn and easyesn you can also consider the following projects:

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

RNN-Twitter-Bot - 🤖✏️ A Twitter bot written in Python trained with a recurrent neural network.

neptune-client - 📘 The MLOps stack component for experiment tracking

ng-rc-paper-code - Code for the paper "Next Generation Reservoir Computing"

providence

handwriting-synthesis - Handwriting Synthesis with RNNs ✏️

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

DeepMalwareDetector - A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

rc - Reservoir Computing, an RNN flavor