ttds-cw3-research-team VS MachineLearningWithPython

Compare ttds-cw3-research-team vs MachineLearningWithPython and see what are their differences.

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ttds-cw3-research-team MachineLearningWithPython
5 1
7 144
- -
0.0 0.0
about 2 years ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
Mozilla Public License 2.0 -
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.

ttds-cw3-research-team

Posts with mentions or reviews of ttds-cw3-research-team. We have used some of these posts to build our list of alternatives and similar projects.

MachineLearningWithPython

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

What are some alternatives?

When comparing ttds-cw3-research-team and MachineLearningWithPython you can also consider the following projects:

Information-Retrieval - Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

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

ranking_validation - A Framework for validating two ranked lists using ndcg, kendall's tau, rbo, recall, mrr

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

information-retrieval - Neural information retrieval / semantic-search / Bi-Encoders

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

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

machine_learning_basics - Plain python implementations of basic machine learning algorithms

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

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.

pythoncode-tutorials - The Python Code Tutorials

Reinforcement_Learning - RL Algorithms with examples in Python / Pytorch / Unity ML agents