Skip to content

Latest commit

 

History

History
98 lines (97 loc) · 39.9 KB

blogposts.md

File metadata and controls

98 lines (97 loc) · 39.9 KB

DJL Blogposts

Title Publish date Author
Understanding YOLO: Real-Time Object Detection in Java 7/11/2024
Contrastive Loss Explained: A Java Programming Guide 7/11/2024
Creating A Spring Boot Application With Machine Learning Integration 5/31/2024 Maksim Navitsky
How to Improve Spring Boot Applications with Artificial Intelligence and Machine Learning 5/20/2024 Alexander Obregon
How to deploy and debug a model with DJL 5/17/2024 TechHara
Deep Learning with Java/Kotlin 4/26/2024 Kumar Shubham
Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks 4/16/2024 Pranav Murthy, Bosco Albuquerque, Varun Shah, Sumedha Swamy
Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers 4/8/2024 Joao Moura, Rahul Sharma, Dhawalkumar Patel, Qing Lan
Optimized Deployment of Mistral7B on Amazon SageMaker Real-Time Inference 2/20/2024 Ram Vegiraju
Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints 2/19/2024 Ram Vegiraju, James Wu, Qingwei Li, Siddharth Venkatesan and others
Detect Objects in Images Using DJL and MXNet Model Zoo 2/23/2024
Harness the Power of DJL: Object Detection with MXNet 2/22/2024
Seamlessly Integrate Machine Learning into Your Spring App with DJL 1/19/2024
Building AI Experiences on AWS in Just 15 Minutes! 12/1/2023
Tokenizing Text for Vector Searches with Java 10/30/2024 Niklas Heidloff
Lessons learned using Machine Learning in Java By Jago de Vreede 10/5/2023 Devoxx
How to build your own AI powered video surveillance system in just 150 lines of code. 10/16/2023 Jason Thomas
Build a generative AI-based content moderation solution on Amazon SageMaker JumpStart 9/5/2023 Gordon Wang, Yanwei Cui, Melanie Li
Elevating the generative AI experience: Introducing streaming support in Amazon SageMaker hosting 9/1/2023 Raghu Ramesha, Abhi Shivaditya, Melanie Li and others
Maximize Stable Diffusion performance and lower inference costs with AWS Inferentia2 6/27/2023 Vivek Gangasani, K.C. Tung, Rupinder Grewal
Deploy Falcon-40B with large model inference DLCs on Amazon SageMaker 6/13/2023 James Park, Qing Lan, Frank Liu and others
Revolutionizing AI: Unleashing Advanced NLP with Open-Source Large Language Models 6/12/2023 Casey Jones
Build custom chatbot applications using OpenChatkit models on Amazon SageMaker 6/12/2023 Dhawal Patel, Vikram Elango, Andrew Smith
A look into Deep Java Library! 6/12/2023 Mohammed Aboullaite
Deploying LLMs On Amazon SageMaker With DJL Serving 6/5/2023 Ram Vegiraju
Announcing the launch of new Hugging Face LLM Inference containers on Amazon SageMaker 6/5/2023 Philipp Schmid, Xin Yang, Qing Lan and others
Agents Explore the Environment Beyond Good Actions to Improve Their Model for Better Decisions 6/3/2023 Matthias Unverzagt
Real-time inference using deep learning within Amazon Kinesis Data Analytics for Apache Flink 6/1/2023 Jeremy Ber, Deepthi Mohan, Gaurav Rele
Enabling large-scale PyTorch model inference at Swiggy 5/28/2023 Abhishek Bose
GPT-NeoXT-Chat-Base-20B foundation model for chatbot applications is now available on Amazon SageMaker 5/16/2023 Rachna Chadha, Kyle Ulrich, Ashish Khetan
Achieve high performance with lowest cost for generative AI inference using AWS Inferentia2 and AWS Trainium on Amazon SageMaker 5/4/2023 Vivek Gangasani, Hiroshi Tokoyo, Qingwie Li, Dhawal Patel and others
How Sportradar used the Deep Java Library to build production-scale ML platforms for increased performance and efficiency 4/19/2023 Fred Wu, Zach Kimberg, Kanwaljit Khurmi
Deploy large models at high performance using FasterTransformer on Amazon SageMaker 4/17/2023 Rohith Nallamaddi, Dhawal Patel
Deploy large language models on AWS Inferentia using large model inference containers 4/10/2023 Qingwie Li, Peter Chung, Aaqib Ansari, Qing Lan, Frank Liu
Forecast the Future in a Timeseries Data With Deep Java Library (DJL) 2/19/2023 Kexin Feng
How to Identify Objects at Pixel Level using Deep Learning in Java 12/25/2022 Xin Yang
Running an NLP Bert or Machine Learning Model from HuggingFace in Java 12/23/2022 Carlos Aguayo
Blazing Fast Training With Small Dataset for Java Applications 12/16/2022 Kexin Feng
Food delivery with Tiny Mile on AWS Wavelength 11/9/2022 Anil Lalwani
Deploy BLOOM-176B and OPT-30B on Amazon SageMaker with large model inference Deep Learning Containers and DeepSpeed 11/4/2022 Rupinder Grewal, Simon Zamarin, Frank Liu and others
Amazon DJL-Zero Project 10/8/2022 Zhou Xinyi
Deploy large models on Amazon SageMaker using DJLServing and DeepSpeed model parallel inference 9/11/2022 Frank Liu, Qing Lan, Qingwei Li, Dhawal Patel, Robert Van Dusen, Alan Tan
Build Semantic Segmentation App with Deep Java Library 8/29/2022 John Doll
Natural Language Processing with Groovy, OpenNLP, CoreNLP, Nlp4j, Datumbox, Smile, Spark NLP, DJL and TensorFlow 8/7/2022 Paul King
Detecting objects with Groovy, the Deep Java Library (DJL), and Apache MXNet 8/1/2022 Paul King
Using Deep Java Library on Spring Boot 7/14/2022 Arika Saputro
Deploy HuggingFace NLP Models in Java With Deep Java Library 4/27/2022 Kexin Feng, Cheng-Che Lee
Scaling-up PyTorch inference: serving billions of daily NLP inferences with ONNX Runtime 4/19/2022 Faith Xu
Simplified MLOps with Deep Java Library 11/23/2021 Lukas Baker, Andrea Duque, and Viet Yen Nguyen
Generating Images using BigGAN using Java 11/18/2021 Aziz Zayed, Frank Liu, Qing Lan
Deep Learning In Java 10/5/2021 Shaharyar Lalani
Accelerating Deep Learning on the JVM with Apache Spark and NVIDIA GPUs 6/11/2021 Qing Lan
Aprendizaje profundo con Spark en la biblioteca Deep Java en 10 minutos 5/12/2021
DJL x Paddle Inference 加速Java深度学习推理落地 4/13/2021 PaddlePaddle
Let's touch on Deep Java Library (DJL), a library that can handle Deep Learning in Java released from AWS 4/10/2021
Deep Java Library explained 3/20/2021 Interview DOT
Train “Undying” Flappy Bird Using Reinforcement Learning on Java 2/25/2021 Qing Lan
Accelerating Deep Learning with Apache Spark and NVIDIA GPUs on AWS 2/23/2021 Qing Lan, Kong Zhao, Carol McDonald
Model serving in Java with AWS Elastic Beanstalk made easy with Deep Java Library 1/25/2021 Frank Liu
Model serving made easier with Deep Java Library and AWS Lambda 1/25/2021 Frank Liu
Leverage deep learning in Scala with GPU on Spark 3.0 1/22/2021 Carol McDonald, Kong Zhao, Qing Lan
How Netflix uses Deep Java Library (DJL) for distributed deep learning inference in real-time 1/19/2021 Lu Huang, Lai Wei, Qing Lan
动手用 Java 训练深度学习模型 11/14/2020 Qing Lan
Pytorch model in Deep Java Library 11/9/2020 Shantanu Bhattacharyya
Deep Learning in Java 10/31/2020 Keerthan Vasist
Video streaming and deep learning: Using Amazon Kinesis Video Streams with Deep Java Library 10/27/2020 Zach Kimberg, Frank Liu
JSUG勉強会 2020年その7 SpringOne 報告LT大会! 9/30/2020 日本Springユーザ会
Using DJL.AI For Deep Learning BERT Q&A in NiFi DataFlows 9/20/2020 Timothy Spann
Java Developer? Run Image Classification on AWS Lambda using DJL 9/18/2020 ML-gay
Learn to Create a Doodle Draw Game on Android 9/16/2020 Qing Lan
NDArray — 基于 Java 的 N 维数组工具 9/1/2020 Qing Lan
How TalkingData uses AWS open source Deep Java Library with Apache Spark for machine learning inference at scale 8/27/2020 Qing Lan
NDArray — — a Java based N-Dim array toolkit 8/12/2020 Qing Lan
5 分鐘用 Java 完成 PyTorch 物體識別! 8/3/2020 Cheng-Che Lee
How Amazon retail systems run machine learning predictions with Apache Spark using Deep Java Library 7/14/2020 Raja Hafiz Affandi, Vaibhav Goel, Qing Lan
深度解析 Amazon Retail System 用户倾向预测模型以及使用 DJL 在 Apache Spark 进行深度学习推理任务 6/23/2020 Raja Hafiz Affandi, Vaibhav Goel, Qing Lan
Java 机器学习工具箱:Amazon Deep Java Library 6/16/2020 Xinyu Liu, Frank Liu
Deep Java Learning - NDManager & NDArray 6/12/2020 Christoph Henkelmann
十分钟轻松使用Scala在Apache Spark部署深度学习模型 6/12/2020 Qing Lan
Detecting pneumonia from chest x-ray images in Java 6/12/2020 Wei Lai
Deep Learning with Spark in Deep Java Library in 10 minutes 6/10/2020 Qing Lan
Machine Learning in Java With Amazon Deep Java Library 5/28/2020 Frank Liu, Xinyu Liu, Frank Greco, Zoran Sevarac, Balaji Kamakoti
Deep Learning with Spring Boot and DJL 5/14/2020 David Kiss
使用 DJL (Deep Java Library) 和 Spring Boot 在您的微服务中采用机器学习 5/11/2020 Mikhail Shapirov
Adopting machine learning in your microservices with DJL (Deep Java Library) and Spring Boot 5/6/2020 Mikhail Shapirov
5分钟!用Java实现目标检测 (PyTorch) 5/4/2020 Qing Lan
Amazon DJL - a new DL framework for Java 4/28/2020 Christoph Henkelmann
Implement Object Detection with PyTorch in Java in 5 minutes 4/22/2020 Qing Lan
JAVA 程序员的 AI 工具箱 – Deep Java Library (DJL) 2/20/2020 费良宏
Deep Java Library (DJL) 简介 1/24/2020 Xinyu Liu
Getting to Know Deep Java Library (DJL) - InfoQ 12/19/2019 Kesha Williams
Deep Java Library(DJL) — a Deep Learning Toolkit for Java Developers 12/9.2019 Kesha Williams
Introducing Deep Java Library: Develop and deploy Machine Learning models in Java 12/3/2019 AWS
Introducing Deep Java Library(DJL) 11/29/2019 Rakesh Vasudevan