decrunch VS PaddlePaddle

Compare decrunch vs PaddlePaddle and see what are their differences.

decrunch

Python wrapper around Crunch DXTc decompressor (by HearthSim)

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) (by PaddlePaddle)
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decrunch PaddlePaddle
1 6
13 21,616
- 0.5%
0.0 10.0
over 2 years ago 7 days ago
C++ C++
zlib License 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.

decrunch

Posts with mentions or reviews of decrunch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-29.

PaddlePaddle

Posts with mentions or reviews of PaddlePaddle. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

What are some alternatives?

When comparing decrunch and PaddlePaddle you can also consider the following projects:

Crunch2 - Advanced DXTc texture compression and transcoding library. Fork of crunch.

tensorflow - An Open Source Machine Learning Framework for Everyone

UnityPack - Python deserialization library for Unity3D Asset format

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

Keras - Deep Learning for humans

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

MLflow - Open source platform for the machine learning lifecycle

gym - A toolkit for developing and comparing reinforcement learning algorithms.

python-recsys - A python library for implementing a recommender system

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

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration