djl
@deepjavalibrary
Followers
373
Following
37
Media
60
Statuses
114
Deep Java Library
Joined March 2020
Here's a link to the full video:
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.
0
1
2
Learn how to build your own AI powered video surveillance system in just 150 lines of code https://t.co/MJB5jhzRFr
1
2
8
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
Key Features Upgrades for engines Upgrades PyTorch engine to 2.0.1 Upgrades javacpp version to 1.5.9 (#2636) Upgrades HuggingFace tokenizer to 0.13.3 (#2697) Upgrades OnnxRuntime version to 1.15...
1
4
7
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. https://t.co/yemfFmVbK7
1
2
5
Natural Language Processing with Groovy, OpenNLP, CoreNLP, Nlp4j, Datumbox, Smile, Spark NLP, DJL and TensorFlow https://t.co/mMEmQoOEbh
#groovylang @ApacheSpark @ApacheGroovy @deepjavalibrary @TensorFlow @ApacheOpennlp @stanfordnlp @haifengl @Datumbox @oyahiroki
2
20
39
Deep learning object detection with @ApacheGroovy, @deepjavalibrary and @ApacheMXNet: https://t.co/hSyOiTosPf
#groovylang #deeplearning #neuralnets #ai #machinelearning
0
13
41
Reminder to join us this Wednesday at 9:00AM PT for our bi-weekly community meeting. See https://t.co/o9bp6QyYTV for details
github.com
Time: 9:00AM-10:00AM PT This is part of a series of biweekly online community meetings to discuss DJL development, events, and projects. The agenda and conference information are located below. If ...
0
0
1
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 https://t.co/AaUzVlXE9I
0
4
9
To learn how to deploy your @huggingface #nlp #deeplearning model in #Java, check out the latest #djl blog post https://t.co/QJ5X0He08b
0
1
6
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: https://t.co/N159KWxQ3u
0
2
3
The March monthly news update of new features, content, and fixes for the Deep #Java Library #djl is now available at
github.com
Also including content from February 2022 Released DJL 0.16.0 (Release Notes) Key Features: Upgrades Apache MXNet engine to 1.9.0 with CUDA 11.2 support Improves ONNXRuntime engine memory configura...
0
1
5
Learn how @hypefactors was able to simplify their #ml #MLOps using @onnxai and #djl: https://t.co/WgQTHoVEiW
0
2
4
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 https://t.co/LAXwhkDs4J.
0
3
4
The January monthly news update of new features, content, and fixes for the Deep #Java Library #djl is now available at
github.com
Also including content from December 2021 Released DJL 0.15.0 (Release Notes) Key Features: Introduces Huggingface tokenizers extension which allows user to leverage high performance fast tokenizer...
0
0
6
The November monthly news update of new features, content, and fixes for the Deep #Java Library #djl is now available at
github.com
Released DJL 0.14.0 (Release Notes) Feature Enhancements DJL Create TestRequirements utility #1330 Add debugging toString to Input and Output #1327 Add support for inferentia #1329 Add support for ...
0
1
4
The October monthly news update of new features, content, and fixes for the Deep #Java Library #djl is now available at
github.com
Released DJL 0.13.0 (Release Notes) Feature Enhancements DJL [ci] Add publish python engine and serving wlm pipeline (#1260) [python] Add benchmark python engine (#1267) [onnx] upgrade OnnxRuntime ...
1
1
5
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
DJL v0.13.0 brings the new TensorRT and Python engines, and updates the engines PyTorch to 1.9.0, ONNXRuntime to 1.9.0, PaddlePaddle to 2.0.2, and introduces several new features: Key Features Int...
0
0
4
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
DJL v0.12.0 added GPU support to PaddlePaddle and ONNXRuntime, and introduces several new features: Key Features Updates PaddlePaddle engine with GPU support. Updates ONNXRuntime engine with GPU s...
1
2
13
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 https://t.co/JOA2SRfjIq to learn more
0
2
7
Aprendizaje profundo con Spark en la biblioteca Deep Java en 10 minutos:
0
0
2