machine-learning-articles VS awesome-adaptive-computation

Compare machine-learning-articles vs awesome-adaptive-computation and see what are their differences.

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machine-learning-articles awesome-adaptive-computation
5 1
3,108 98
- -
4.1 8.8
about 2 months ago 13 days ago
- Apache 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.

machine-learning-articles

Posts with mentions or reviews of machine-learning-articles. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-06.

awesome-adaptive-computation

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

What are some alternatives?

When comparing machine-learning-articles and awesome-adaptive-computation you can also consider the following projects:

iris - Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

CVPR2024-Papers-with-Code - CVPR 2024 ่ฎบๆ–‡ๅ’Œๅผ€ๆบ้กน็›ฎๅˆ้›†

minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

datasets - ๐Ÿค— The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.