MachineLearningWithPython VS ml-mipt

Compare MachineLearningWithPython vs ml-mipt and see what are their differences.

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MachineLearningWithPython ml-mipt
1 18
144 8
- -
0.0 0.0
almost 2 years ago over 1 year 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.

ml-mipt

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

What are some alternatives?

When comparing MachineLearningWithPython and ml-mipt 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

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

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

mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.

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

pytorch-implementations - A collection of paper implementations using the PyTorch framework

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

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

machine_learning_basics - Plain python implementations of basic machine learning algorithms

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.

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.