Deep Java Library (DJL) VS Pytorch

Compare Deep Java Library (DJL) vs Pytorch and see what are their differences.

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Deep Java Library (DJL) Pytorch
7 159
2,617 56,978
3.1% 1.1%
9.4 10.0
5 days ago 7 days ago
Java C++
Apache License 2.0 BSD 1-Clause License
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.

Deep Java Library (DJL)

Posts with mentions or reviews of Deep Java Library (DJL). We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-03.

Pytorch

Posts with mentions or reviews of Pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-12.

What are some alternatives?

When comparing Deep Java Library (DJL) and Pytorch you can also consider the following projects:

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

tensorflow - An Open Source Machine Learning Framework for Everyone

ROCm - ROCm - Open Source Platform for HPC and Ultrascale GPU Computing

Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara

mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

OpenCV - Open Source Computer Vision Library

fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.