|3 days ago||2 days ago|
|Apache License 2.0||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.
3% of 666 Python codebases we checked had a silently failing unit test
20 projects | reddit.com/r/Python | 15 Feb 2022
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
65 Blog Posts to Learn Data Science
2 projects | dev.to | 30 Nov 2022
Hello world. This tutorial is a gentle introduction to building modern text recognition system using deep learning in 15 minutes. It will teach you the main ideas of how to use Keras and Supervisely for this problem. This guide is for anyone who is interested in using Deep Learning for text recognition in images but has no idea where to start.
Инструменты Python. Библиотеки для анализа данных
7 projects | reddit.com/r/u_DenoiseLAB | 10 Nov 2022
- statsmodel (https://keras.io);
Keras vs Tensorflow vs Pytorch for a Final year Project
2 projects | reddit.com/r/tensorflow | 10 Oct 2022
E.g. If you consider it image classification (you already have the pedestrians extracted and just need to classify their intent), you might find that easier to do with Keras, just butcher one of the examples on keras.io. You might also find fast.ai more to your liking.
A few (unordered) thoughts about data (1/2)
6 projects | dev.to | 5 Oct 2022
How to Build a Machine Learning Recommendation Engine w/ TensorFlow & HarperDB
3 projects | dev.to | 24 Aug 2022
This is where machine learning takes over. Using libraries such as TensorFlow Recommenders with Keras models, it's easy to shape the data in ways that will allow the items and users to be viewed and compared in a multidimensional perspective. Qualitative features such as item categories and user profile attributes can be mapped into mathematical concepts that can be quantitatively compared with one another, ultimately providing new insights and better recommendations.
Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
8 projects | dev.to | 14 Aug 2022
Keras – An open-source software library that provides a Python interface to TensorFlow for artificial neural networks
There is framework for everything.
107 projects | reddit.com/r/ProgrammerHumor | 4 Aug 2022
How to build FPGA-based ML accelerator?
3 projects | reddit.com/r/FPGA | 6 Jul 2022
I would check out hls4ml. It's an open source project made by/for people at CERN to convert neural networks created in Python using QKeras (a quantization extension of Keras) into HLS, with Vivado HLS being the most well supported. There are some caveats though, and a fellow student and I have had trouble getting the generated HLS to match the Keras model and be feasible to synthesize, but it seems to work well for smaller neural networks.
Level up your Python today with open-source contributions
11 projects | dev.to | 25 May 2022
Read the contributing guidelines
2 projects | reddit.com/r/u_Animus_Vacui | 9 May 2022
What are some alternatives?
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
scikit-learn - scikit-learn: machine learning in Python
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
tensorflow - An Open Source Machine Learning Framework for Everyone
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
TFLearn - Deep learning library featuring a higher-level API for TensorFlow.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
skflow - Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
gensim - Topic Modelling for Humans