django-silk
Keras
django-silk | Keras | |
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16 | 78 | |
4,245 | 60,937 | |
0.5% | 0.3% | |
7.2 | 9.9 | |
24 days ago | 7 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
django-silk
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Show HN: Sqlbind a Python library to compose raw SQL
But that's still not backend-specific SQL?
There should be an interface method for this. Why does psycopg call it mogrify?
https://django-debug-toolbar.readthedocs.io/en/latest/panels... :
> debug_toolbar.panels.sql.SQLPanel: SQL queries including time to execute and links to EXPLAIN each query
But debug toolbars mostly don't work with APIs.
https://github.com/django-query-profiler/django-query-profil... :
> Django query profiler - one profiler to rule them all. Shows queries, detects N+1 and gives recommendations on how to resolve them
https://github.com/jazzband/django-silk :
> Silk is a live profiling and inspection tool for the Django framework. Silk intercepts and stores HTTP requests and database queries before presenting them in a user interface for further inspection
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Understanding TTFB Latency in DJango - Seems absurdly slow after DB optimizations even locally
you're using DRF, which DDT doesn't work well with. DDT is more for template rendered pages, not API responses. Have you brought in Django silk for monitoring this?
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The Django ecosystem is not so good
https://github.com/jazzband/django-silk/issues?q=is%3Aopen+is%3Aissue+label%3Abug
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view fields depend on Enum value in Django admin
Are you using Django-silk? Googling for the error shows https://github.com/jazzband/django-silk/issues/374
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How to view the number of queries executed in DRF.
Those docs are wrong. They still reference syncdb. Use the README at https://github.com/jazzband/django-silk.
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Tracking Endpoint Access
Perhaps https://github.com/jazzband/django-silk?
- How can gather info about API Response status per user ?
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I just updated my deep dive on how to optimize SQL queries with the Django ORM
If you're using Django as an API, without templates, django debug toolbar is useless because it requires templates. It won't work with DRF endpoints which means you miss out on profiling and SQL tracing. That's where django-silk shines.
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Is there a notable performance difference between getting instance by get.(id=wanted_id) or using foreign key to get instance?
You can also install django-silk to profile your app, and play around with different implementations.
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3% of 666 Python codebases we checked had a silently failing unit test
https://github.com/ansible-community/ara/pull/358 https://github.com/b12io/orchestra/pull/830 https://github.com/batiste/django-page-cms/pull/210 https://github.com/carpentries/amy/pull/2130 https://github.com/celery/django-celery/pull/612 https://github.com/django-cms/django-cms/pull/7241 https://github.com/django-oscar/django-oscar/pull/3867 https://github.com/esrg-knights/Squire/pull/253https://github.com/Frojd/django-react-templatetags/pull/64 https://github.com/groveco/django-sql-explorer/pull/474 https://github.com/jazzband/django-silk/pull/550 https://github.com/keras-team/keras/pull/16073 https://github.com/ministryofjustice/cla_backend/pull/773 https://github.com/nitely/Spirit/pull/306 https://github.com/python/pythondotorg/pull/1987 https://github.com/rapidpro/rapidpro/pull/1610 https://github.com/ray-project/ray/pull/22396 https://github.com/saltstack/salt/pull/61647 https://github.com/Swiss-Polar-Institute/project-application/pull/483 https://github.com/UEWBot/dipvis/pull/216
Keras
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Library for Machine learning and quantum computing
Keras
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My Favorite DevTools to Build AI/ML Applications!
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development.
- Release: Keras 3.3.0
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Getting Started with Gemma Models
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow.
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Keras 3.0
All breaking changes are listed here: https://github.com/keras-team/keras/issues/18467
You can use this migration guide to identify and fix each of these issues (and further, making your code run on JAX or PyTorch): https://keras.io/guides/migrating_to_keras_3/
- Keras 3: A new multi-back end Keras
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Can someone explain how keras code gets into the Tensorflow package?
I'm guessing the "real" keras code is coming from the keras repository. Is that a correct assumption? How does that version of Keras get there? If I wanted to write my own activation layer next to ELU, where exactly would I do that?
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How popular are libraries in each technology
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks.
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List of AI-Models
Click to Learn more...
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Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them.
What are some alternatives?
django-debug-toolbar - A configurable set of panels that display various debug information about the current request/response.
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
django-celery - Old Celery integration project for Django
scikit-learn - scikit-learn: machine learning in Python
django-cms - The easy-to-use and developer-friendly enterprise CMS powered by Django
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
django-oscar - Domain-driven e-commerce for Django
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
tensorflow - An Open Source Machine Learning Framework for Everyone
Spirit - Spirit is a modern Python based forum built on top of Django framework
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.