mlsync VS best-of-ml-python

Compare mlsync vs best-of-ml-python and see what are their differences.

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mlsync best-of-ml-python
1 16
68 15,672
- 2.6%
0.0 7.8
over 1 year ago 1 day ago
Python Python
Apache License 2.0 Creative Commons Attribution Share Alike 4.0
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.

mlsync

Posts with mentions or reviews of mlsync. We have used some of these posts to build our list of alternatives and similar projects.
  • [P] Track your ML Projects from Notion!
    1 project | /r/MachineLearning | 28 Jun 2022
    Do you want to compare the loss with hyperparameters? I think we got that working: Demo. Or, did you mean, some plots to visualize the same? Unfortunately, Notion API doesn't support images and hosting it elsewhere would cost $$.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

What are some alternatives?

When comparing mlsync and best-of-ml-python you can also consider the following projects:

pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

dtale - Visualizer for pandas data structures

notiondb - Python 3 tools for interacting with Notion API

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning

livelossplot - Live training loss plot in Jupyter Notebook for Keras, PyTorch and others