awesome-deep-learning
awesome-production-machine-learning
awesome-deep-learning | awesome-production-machine-learning | |
---|---|---|
2 | 9 | |
22,857 | 16,020 | |
- | 1.1% | |
0.0 | 7.5 | |
8 days ago | 1 day ago | |
- | 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-deep-learning
-
Good coding groups for black women?
- https://github.com/ChristosChristofidis/awesome-deep-learnin...
I'll make another comment if I find anymore in my bookmarks. I'm also an educator.
-
Risorse gratuite online
Deep Learning: https://github.com/ChristosChristofidis/awesome-deep-learning
awesome-production-machine-learning
-
Exploring Open-Source Alternatives to Landing AI for Robust MLOps
One trove of treasures is the awesome-production-machine-learning repository on GitHub. This curated list provides a multitude of frameworks, libraries, and software designed to facilitate various stages of the ML lifecycle.
-
[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
There is a cool, gigantic list for MLOps that I can recommend: https://github.com/EthicalML/awesome-production-machine-learning
-
How much of a full DS project pipeline can I do for free?
There are a lot of frameworks and specific tools out there that try to make production ML projects viable; from specific like Airflow (orchestrating jobs) and MLflow (experiment tracking) to more complex ones like Kubeflow. You can have a grasp here.
-
Sqldiff: SQLite Database Difference Utility
https://github.com/EthicalML/awesome-production-machine-lear...
- [D] What are the best resources to crack M L system design interviews?
-
I'm looking for a tool that let's you visualize the models architecture like this. Any idea what it is called?
https://github.com/EthicalML/awesome-production-machine-learning I think you will find most of the tools to visualize the model on this link.
- Awesome production machine learning - curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning [free] [website] [@all]
-
Crucial differences in MLOps for deep learning
2/ https://github.com/EthicalML/awesome-production-machine-learning
What are some alternatives?
Awesome-Deblurring - A curated list of resources for Image and Video Deblurring
shap - A game theoretic approach to explain the output of any machine learning model.
awesome-deep-learning-music - List of articles related to deep learning applied to music
awesome-jax - JAX - A curated list of resources https://github.com/google/jax
awesome-project-ideas - Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
netron - Visualizer for neural network, deep learning and machine learning models
Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
awesome-mlops - :sunglasses: A curated list of awesome MLOps tools
awesome-ai-in-finance - 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security
datascience - Curated list of Python resources for data science.