HotBits Python API
tensorflow
HotBits Python API | tensorflow | |
---|---|---|
- | 233 | |
2 | 186,816 | |
- | 0.3% | |
0.0 | 10.0 | |
almost 5 years ago | about 22 hours ago | |
Python | C++ | |
GNU General Public License v3.0 or later | 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.
HotBits Python API
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Tracking mentions began in Dec 2020.
tensorflow
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Build, Innovate & Collaborate: Setting Up TensorFlow for Open Source Contribution! 🚀✨
🥷 Fork & clone tensorflow repo. ⚙️ Setup Development environment for contribution. 🫸 Push and create pull request.
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Top 8 OpenSource Tools for AI Startups
Star on GitHub ⭐ - Tensorflow
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GitHub Repositories Every Developer Should Know: An In-Depth Guide
Access the repository for source code and examples.
- Create ML models that can run in any environment
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Las 10 Mejores Herramientas de Inteligencia Artificial de Código Abierto
(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/adae9icuiza0lhd532pc.png)
- TensorFlow: Democratizing Machine Learning with Open Source Power
- Release TensorFlow 2.17.0 · TensorFlow/TensorFlow
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Top 17 Fast-Growing Github Repo of 2024
TensorFlow
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Awesome List
GitHub Repository - The main TensorFlow repository.
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Rebuilding TensorFlow 2.8.4 on Ubuntu 22.04 to patch vulnerabilities
The official 2.8.4 container was published in Nov 2022. That's 1.5 years of OS updates at least. I looked up the 2.8.4 source and found that it's using Ubuntu 20.04 as the base OS. Of note, we're using the x86_64 architecture according to the container image layer: ENV NVARCH=x86_64.
What are some alternatives?
PyBrain
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Surprise - A Python scikit for building and analyzing recommender systems
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
MLflow - Open source platform for the machine learning lifecycle
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
xeger - Library to generate random strings from regular expressions.
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
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.