🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Aprendizaje profundo con Spark en la biblioteca Deep Java en 10 minutos: buff.ly/3cavXl2

You can speed up your #Java #Scala #DeepLearning by combining #djl, GPUs on Apache Spark 3.0, NVIDIA AI RAPIDS, and run it on #aws #elasticmapreduce. Read buff.ly/3vf1nh2 to learn more

Check out the latest release of #djl 0.12.0 featuring GPU support for #PaddlePaddle and onnxruntime, support for #AWS Inferentia, Float16, a new benchmarking utility, and more at github.com/deepjavalibrar…

DJL v0.13.0 is now out with new TensorRT and Python engines along with upgrades to djl-bench and djl-serving. Find the full list at github.com/deepjavalibrar…

The October monthly news update of new features, content, and fixes for the Deep #Java Library #djl is now available at github.com/deepjavalibrar…

The November monthly news update of new features, content, and fixes for the Deep #Java Library #djl is now available at github.com/deepjavalibrar…

The January monthly news update of new features, content, and fixes for the Deep #Java Library #djl is now available at github.com/deepjavalibrar…

DJL 0.16.0 is now out and features support for Apache MXNet 1.9.0 with #CUDA 11.2, improved onnxruntime memory configuration, and a cleaner integration with #FastText. Find it now on #MavenCentral and the GitHub release at buff.ly/3JHRMYa.

Learn how Hypefactors was able to simplify their #ml #MLOps using ONNX and #djl: buff.ly/3nLky1u

The March monthly news update of new features, content, and fixes for the Deep #Java Library #djl is now available at github.com/deepjavalibrar…

Read the post on Open at Microsoft about how Hypefactors was able to scale up their PyTorch named entity recognition (NER) transformer model to billions of daily inferences using onnxruntime and #djl: buff.ly/3jWmwsW

To learn how to deploy your Hugging Face #nlp #deeplearning model in #Java, check out the latest #djl blog post buff.ly/3voSRz3

DJL v0.17.0 is now out and features support for PyTorch linux AArch64 and version v1.11.0, onnxruntime v1.11.0, two new datasets, and more. Find it now on #MavenCentral and the GitHub release at buff.ly/3Nx6N0F

Reminder to join us this Wednesday at 9:00AM PT for our bi-weekly community meeting. See github.com/deepjavalibrar… for details

Deep learning object detection with ApacheGroovy, djl and Apache MXNet: blogs.apache.org/groovy/entry/d… #groovylang #deeplearning #neuralnets #ai #machinelearning

Natural Language Processing with Groovy, OpenNLP, CoreNLP, Nlp4j, Datumbox, Smile, Spark NLP, DJL and TensorFlow blogs.apache.org/groovy/entry/n… #groovylang Apache Spark ApacheGroovy djl TensorFlow Apache OpenNLP Stanford NLP Group Haifeng Li Datumbox oyahiroki 😝❤🦑🐙💻🤖ʬ ｫ ｫ ｬ

v0.4.0 brings QuPath a lot closer to supporting deep learning routinely, with the help of djl It's still early - the focus has been on the unglamorous make-it-possible stuff - but I think it can already be pretty useful. x.com/petebankhead/s…

DJL v0.23.0 was released. It adds support for XGBoost and FastText on aarch64, streaming, and LLM text generation. Serving features rolling batches, lmi-dist, PEFT and LoRA handler support, and an s3 cache engine. See the full release notes at github.com/deepjavalibrar…

Learn how to build your own AI powered video surveillance system in just 150 lines of code buff.ly/3ZWfXL6

Here's a link to the full video: youtube.com/watch?v=AHlnGI…