HotBits Python API VS tensorflow

Compare HotBits Python API vs tensorflow and see what are their differences.

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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
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.

HotBits Python API

Posts with mentions or reviews of HotBits Python API. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning HotBits Python API yet.
Tracking mentions began in Dec 2020.

tensorflow

Posts with mentions or reviews of tensorflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-10-28.

What are some alternatives?

When comparing HotBits Python API and tensorflow you can also consider the following projects:

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.

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