compression VS tensorflow

Compare compression vs tensorflow and see what are their differences.

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compression tensorflow
1 221
823 182,456
2.6% 0.8%
6.6 10.0
10 days ago 1 day ago
Python C++
Apache License 2.0 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.

compression

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

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 2023-11-06.

What are some alternatives?

When comparing compression and tensorflow you can also consider the following projects:

EmoPy - A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

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)

openrec - OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

serving - A flexible, high-performance serving system for machine learning models

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

deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

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.

guesslang - Detect the programming language of a source code

scikit-learn - scikit-learn: machine learning in Python

Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.