djl retweeted
Here's a link to the full video: youtube.com/watch?v=AHlnGId-…
Hey @deepjavalibrary community, here's a trailer to my video (in the replies) on how to get started with building a semantic text similarity engine using a pretrained huggingface model.
Learn how to build your own AI powered video surveillance system in just 150 lines of code buff.ly/3ZWfXL6
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/deepjavalibrary/d…
djl retweeted
v0.4.0 brings QuPath a lot closer to supporting deep learning routinely, with the help of @deepjavalibrary
It's still early - the focus has been on the unglamorous make-it-possible stuff - but I think it can already be pretty useful.
xitter.cf/petebankhead/status/15…
djl retweeted
Natural Language Processing with Groovy, OpenNLP, CoreNLP, Nlp4j, Datumbox, Smile, Spark NLP, DJL and TensorFlow
blogs.apache.org/groovy/entr…
#groovylang @ApacheSpark @ApacheGroovy @deepjavalibrary @TensorFlow @ApacheOpennlp @stanfordnlp @haifengl @Datumbox @oyahiroki
djl retweeted
Deep learning object detection with @ApacheGroovy, @deepjavalibrary and @ApacheMXNet:
blogs.apache.org/groovy/entr…
#groovylang #deeplearning #neuralnets #ai #machinelearning
Reminder to join us this Wednesday at 9:00AM PT for our bi-weekly community meeting. See github.com/deepjavalibrary/d… for details
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
To learn how to deploy your @huggingface #nlp #deeplearning model in #Java, check out the latest #djl blog post buff.ly/3voSRz3
Read the post on @OpenAtMicrosoft 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
The March monthly news update of new features, content, and fixes for the Deep #Java Library #djl is now available at github.com/deepjavalibrary/d…
Learn how @hypefactors was able to simplify their #ml #MLOps using @onnxai and #djl: buff.ly/3nLky1u
DJL 0.16.0 is now out and features support for @ApacheMXNet 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.
The January monthly news update of new features, content, and fixes for the Deep #Java Library #djl is now available at github.com/deepjavalibrary/d…
The November monthly news update of new features, content, and fixes for the Deep #Java Library #djl is now available at github.com/deepjavalibrary/d…
The October monthly news update of new features, content, and fixes for the Deep #Java Library #djl is now available at github.com/deepjavalibrary/d…
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/deepjavalibrary/d…
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/deepjavalibrary/d…
You can speed up your #Java #Scala #DeepLearning by combining #djl, GPUs on @ApacheSpark 3.0, @NVIDIAAI RAPIDS, and run it on #aws #elasticmapreduce. Read buff.ly/3vf1nh2 to learn more