AlphaPy VS guesslang

Compare AlphaPy vs guesslang and see what are their differences.

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AlphaPy guesslang
25 2
1,049 756
1.9% -
6.7 0.0
3 months ago about 2 months ago
Python Python
Apache License 2.0 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.

AlphaPy

Posts with mentions or reviews of AlphaPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-23.

guesslang

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

What are some alternatives?

When comparing AlphaPy and guesslang you can also consider the following projects:

lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

onnx-tensorflow - Tensorflow Backend for ONNX

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

sup-res - A great companion for finding key support and resistance levels on financial charts, cryptocurrencies.

Keras - Deep Learning for humans

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Gradient-Centralization-TensorFlow - Instantly improve your training performance of TensorFlow models with just 2 lines of code!

MLBox - MLBox is a powerful Automated Machine Learning python library.

compression - Data compression in TensorFlow