MachineLearningWithPython VS pythoncode-tutorials

Compare MachineLearningWithPython vs pythoncode-tutorials and see what are their differences.

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MachineLearningWithPython pythoncode-tutorials
1 1
144 2,002
- -
0.0 8.1
almost 2 years ago 23 days ago
Jupyter Notebook Jupyter Notebook
- 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.

MachineLearningWithPython

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

pythoncode-tutorials

Posts with mentions or reviews of pythoncode-tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-12.

What are some alternatives?

When comparing MachineLearningWithPython and pythoncode-tutorials you can also consider the following projects:

Tic-Tac-Toe-Gym - This is the Tic-Tac-Toe game made with Python using the PyGame library and the Gym library to implement the AI with Reinforcement Learning

violent-python3 - Source code for the book "Violent Python" by TJ O'Connor. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.

perceptron-asm - A single-layer perceptron in x86 assembly to distinguish between circles and rectangles.

flytesnacks - Flyte Documentation 📖

nlp-class - A Natural Language Processing course taught by Professor Ghassemi

TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

machine_learning_basics - Plain python implementations of basic machine learning algorithms

PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

ml-mipt - Former repository of ML course. Redirect link included

lmsoc - Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining