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Top 15 Java Deep Learning Projects
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mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub
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hms-ml-demo
HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.
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ksql-udf-deep-learning-mqtt-iot
Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
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OpenLabeler
OpenLabeler is an open source desktop application for annotating objects for AI appplications
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pocket-automl-android-tutorial
Pocket AutoML: Tutorial for Creating an Android App for Image Classification with Deep Learning
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oneML-bootcamp
Intro and sample apps to showcase oneML functionalities and possible use cases: Face Detection, Face Identification, Face Embedding, Vehicle Detection, EKYC, Person Attack Detection.
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SaaSHub
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Project mention: The Current State of Clojure's Machine Learning Ecosystem | news.ycombinator.com | 2024-04-07> I don't think it's right to recommend that new users move away from the package because of licensing issues
I was going to chime in to agree but then I saw how this was done - a completely innocuous looking commit:
https://github.com/haifengl/smile/commit/6f22097b233a3436519...
And literally no mention in the release notes:
https://github.com/haifengl/smile/releases/tag/v3.0.0
I think if you are going to change license especially in a way that makes it less permissive you need to be super open and clear about both the fact you are doing it and your reasons for that. This is done so silently as to look like it is intentionally trying to mislead and trick people.
So maybe I wouldn't say to move away because of the specific license, but it's legitimate to avoid something when it's so clearly driven by a single entity and that entity acts in a way that isn't trustworthy.
What's wrong with just using Torchserve[1]? We've been using it to serve embedding models in production.
[1] https://pytorch.org/serve/
Project mention: Integration of Facial Authentication (Recognition) on an Employee Dashboard using FACEIO, Next.js & Typescript. | dev.to | 2024-05-13When asked to select a Facial Recognition Engine for the application, choose PixLab Insight. The engine will be used for mapping each enrolled user’s face in real-time into a mathematical feature vector, known as a biometric hash, which is in turn stored in a sand-boxed binary index. This is used to protect the data of users when they are authenticated with FACEIO.
Java Deep Learning related posts
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🕵️♀️ Detect And Blur Human Faces with Ai in NextJS ✨
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Deep Learning Course
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Is deeplearning4j a good choice?
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Is supervised machine learning the same as linear regression?
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FLiP Stack Weekly for 13-Feb-2023
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Just want to vent a bit
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Elon Musk dissolves Twitter's board of directors
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A note from our sponsor - SaaSHub
www.saashub.com | 2 Jun 2024
Index
What are some of the best open-source Deep Learning projects in Java? This list will help you:
Project | Stars | |
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1 | mit-deep-learning-book-pdf | 12,404 |
2 | Smile | 5,937 |
3 | serve | 4,002 |
4 | Deep Java Library (DJL) | 3,908 |
5 | grobid | 3,157 |
6 | Tribuo | 1,230 |
7 | submarine | 688 |
8 | hms-ml-demo | 351 |
9 | ksql-udf-deep-learning-mqtt-iot | 286 |
10 | Data-Engineering-Roadmap | 117 |
11 | pixlab | 111 |
12 | OpenLabeler | 104 |
13 | pocket-automl-android-tutorial | 21 |
14 | oneML-bootcamp | 11 |
15 | nifi-djl-processor | 7 |
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