awesome-drug-pair-scoring VS 100-Days-Of-ML-Code

Compare awesome-drug-pair-scoring vs 100-Days-Of-ML-Code and see what are their differences.

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awesome-drug-pair-scoring 100-Days-Of-ML-Code
4 3
85 43,337
- -
0.0 0.0
over 1 year ago 4 months ago
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.

awesome-drug-pair-scoring

Posts with mentions or reviews of awesome-drug-pair-scoring. We have used some of these posts to build our list of alternatives and similar projects.

100-Days-Of-ML-Code

Posts with mentions or reviews of 100-Days-Of-ML-Code. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-07.

What are some alternatives?

When comparing awesome-drug-pair-scoring and 100-Days-Of-ML-Code you can also consider the following projects:

efficient-gnns - Code and resources on scalable and efficient Graph Neural Networks

100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

diffnet - Graph Neural Network based Social Recommendation Model. SIGIR2019.

machine_learning_basics - Plain python implementations of basic machine learning algorithms

PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Data-science-best-resources - Carefully curated resource links for data science in one place

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB

dive-into-machine-learning - Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

GNNPapers - Must-read papers on graph neural networks (GNN)

100DaysOfCode - A GitHub Repo for my #100DaysOfCode challenge projects