cld3-kotlin
android-bootstrap
| cld3-kotlin | android-bootstrap | |
|---|---|---|
| 7 | 21 | |
| 20 | 60 | |
| - | - | |
| 0.0 | 1.8 | |
| almost 2 years ago | about 3 years ago | |
| Kotlin | Kotlin | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cld3-kotlin
android-bootstrap
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Build end-to-end AI Apps in minutes using just your phone.
This is interesting. The closest I can compare it to is lobe.ai.
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When is Lobe Image Classifying coming
lobe.ai says object detection is coming soon
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lobe.ai. new version
I need urgent help please!!! I've just installed the new Version of lobe.ai on my MAC and now, after it has finished, the prediction rate has decreased from more than 90% to 50% :-( :-(
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Camera Works for "Label" But Not for "Use"
Using lobe.ai 0.10.1130.5 I successfully trained using my Webcam Logitech C920. The camera turned live, and I could take individual and rapid-snap photos. But after proceeding to 'Use', the camera button does show, but nothing happens when I press it, not does hovering raise a floating menu. What am I doing wrong?
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Rasp Pi OS Bullseye has dropped support of PiCamera - breaks Lobe on Rasp P
Found a fix here? There is some bugs in the lobe.ai code:
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Problem getting Lobe.io on Android Device with Android Studio
There is this android-bootstrap https://github.com/lobe/android-bootstrap. In that "getting started" I did everything but I feel like there are steps missing between 4 and 5. The "Run" button is grayed-out.
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can't deploy lobe ai web
I can run the lobe.ai web version locally.
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Anyone have examples of great website copy for a SAAS product?
lobe.ai
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Android no metadata found for tflite model
Are you copying both the saved_model.tflite model and signature.json files? https://github.com/lobe/android-bootstrap#get-started
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[UPDATE] My Isaac Item Recogniser app in action. Only Android version for now, beta test soon ;)
I have no plans on open sourcing my app, but here are bits and pieces I used to build upon :)
What are some alternatives?
lingua - The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike
streamlit - Streamlit — A faster way to build and share data apps.
seeneva-reader-android - A libre smart powered comic book reader for Android.
awesome-teachable-machine - Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!
kinference - Running ONNX models in vanilla Kotlin
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
openai-kotlin - OpenAI API client for Kotlin with multiplatform and coroutines capabilities.
metaflow - Build and manage real-life data science projects with ease.
pairAdjacentViolators - A JVM implementation of the Pair Adjacent Violators algorithm for isotonic regression
great_expectations - Always know what to expect from your data.
kedro-great - The easiest way to integrate Kedro and Great Expectations
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!