pytorch/pytorchGitHub
calls djl “choose if you need a Java/JVM deep learning framework with engine-agnostic backend support.”
Tensors and Dynamic neural networks in Python with strong GPU acceleration
102.7kPythonactive
deepjavalibrary/djl Alternatives
djl is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
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Listed as an alternative to
These projects were analysed and named djl among their alternatives. The relationship is not symmetric — how djl rates them is a separate judgement, made when djl is analysed in its own right.
keras-team/kerasGitHub
calls djl “Choose for JVM-based projects needing an engine-agnostic DL API.”
Deep Learning for humans
64.3kPythonactive
tensorflow/tfjsGitHub
calls djl “when you want to build/deploy models in Java/JVM with engine-agnostic API.”
A WebGL accelerated JavaScript library for training and deploying ML models.
19.1kTypeScriptactive
tracel-ai/burnGitHub
calls djl “Choose when you are in the JVM ecosystem and need engine-agnostic DL abstractions.”
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
15.8kRustactive
Oneflow-Inc/oneflowGitHub
calls djl “choose when you need a deep learning framework that integrates natively into JVM applications”
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
9.4kC++slowing
apple/corenetGitHub
calls djl “When you develop in Java/Kotlin and need a JVM training/inference framework.”
CoreNet: A library for training deep neural networks
7.0kJupyter Notebookslowing