awesome-drug-pair-scoring
100-Days-Of-ML-Code
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 |
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
- A Unified View of Relational Deep Learning for Drug Pair Scoring
- Show HN: A Unified Model of Deep Learning for Drug Pair Scoring
-
[R]
Git: https://github.com/AstraZeneca/polypharmacy-ddi-synergy-survey
- Show HN: Drug-drug interaction, synergy, and polypharmacy prediction
100-Days-Of-ML-Code
-
Top 10 GitHub Repositories Every Developer Should Bookmark in 2024
2) 100 Days of ML Code: Embark on a 100-day journey into the fascinating world of machine learning with this structured curriculum. Packed with bite-sized coding challenges and real-world projects, this repository will transform you from a coding novice to a confident ML enthusiast. (https://github.com/Avik-Jain/100-Days-Of-ML-Code)
-
✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
1️⃣ 100 Days Of ML Code
-
The Ultimate Resource Guide for Your Next 100 Days of Code
ML: 100-Days-Of-ML-Code
What are some alternatives?
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