h2o-llmstudio
keras-ocr
| h2o-llmstudio | keras-ocr | |
|---|---|---|
| 13 | 4 | |
| 3,614 | 1,333 | |
| 3.3% | - | |
| 9.3 | 3.5 | |
| about 24 hours ago | 6 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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h2o-llmstudio
- Paid dev gig: develop a basic LLM PEFT finetuning utility
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building LLM model to answer question
Vector databases are probably a good place to start, though you've already tried LlamaIndex. You might want to try https://github.com/h2oai/h2o-llmstudio and https://github.com/h2oai/h2ogpt.
- [P] Uptraining a pretrained model using company data?
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Permissive LLaMA 7b chat/instruct model
Training framework: https://github.com/h2oai/h2o-llmstudio
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Is what I need possible currently?
Check out LLM Studio for fine tuning LLMs. Open source: https://github.com/h2oai/h2o-llmstudio
- FLaNK Stack Weekly for 30 April 2023
- FLaNK Stack Weekly for 24April2023
- GitHub - h2oai/h2o-llmstudio: H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs
- New Open Source Framework and No-Code GUI for Fine-Tuning LLMs: H2O LLM Studio
- Can an average person learn how to build a LLM model?
keras-ocr
- FLaNK Stack Weekly for 30 April 2023
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Ask HN: Best pretrained OCR model for dashcam footage?
I'm trying to detect things like speed limits, stop signs, retail building signs from a relatively low quality dashcam. The video is 1440p, but the optics aren't great.
So far I've been using generic OCR models like [1] and [2], but the results aren't great.
[1] https://github.com/faustomorales/keras-ocr
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Why do new architectures still use old models?
Yes, you should be able to do it by replacing the the backbone and training the other parts again. The results may be better or worse than you expected. See: https://github.com/faustomorales/keras-ocr/issues/113
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How easy would it be/how would I go about implementing automated OCR + word count estimate after a file upload for a translation website?
There's plenty of OCR models around. If you'll have a Python server handling this, you can try keras-ocr. If you want to do this right in the browser, you can use a tflite model.
What are some alternatives?
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
killport - A command-line tool to easily kill processes running on a specified port.
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
HealthGPT - Query your Apple Health data with natural language 💬 🩺
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
bark - 🔊 Text-Prompted Generative Audio Model
pandas-ai - Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Image2CAD - An application to translate raster image of CAD drawing sheet to a user editable DXF format.
ue5-llama-lora - A proof-of-concept project that showcases the potential for using small, locally trainable LLMs to create next-generation documentation tools.
CRAFT-pytorch - Official implementation of Character Region Awareness for Text Detection (CRAFT)