Eclipse Deeplearning4j
Open-source, distributed deep learning framework for the JVM providing a complete ecosystem for building, training, and deploying neural networks in Java and Scala.
About Eclipse Deeplearning4j
Open-source, distributed deep learning framework for the JVM providing a complete ecosystem for building, training, and deploying neural networks in Java and Scala.
Products
Neural network training and inference framework supporting CNNs, RNNs/LSTMs, feedforward networks, and distributed training on Spark.
N-dimensional array library for Java, providing NumPy-like functionality with native GPU acceleration via CUDA and CPU computation via OpenBLAS and oneDNN.
Python interop library for Java via CPython embedding, including a NumPy bridge.
Automatic differentiation and graph execution library within the Deeplearning4j ecosystem.
Data loading, transformation, and ETL library for machine learning pipelines.
Hyperparameter optimization library with layer spaces, parameter spaces, and visualization.
Pretrained model registry for accessing and using available models.
Model import library supporting Keras, TensorFlow, ONNX, SameDiff, GGML/GGUF, and Apache TVM formats.
Security and compliance
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