skweak
DearPy3D
skweak | DearPy3D | |
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8 | 4 | |
921 | 82 | |
0.3% | - | |
6.2 | 6.7 | |
3 months ago | almost 3 years ago | |
Python | C++ | |
MIT License | MIT License |
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skweak
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Entity Extraction with Predefined List
Thanks for pointing me in the right direction. Seems like there’s a few other approaches with weak supervision: https://github.com/NorskRegnesentral/skweak
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[P] Programmatic: Powerful Weak Labeling
Code for https://arxiv.org/abs/2104.09683 found: https://github.com/NorskRegnesentral/skweak
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Show HN: Programmatic – a REPL for creating labeled data
Hi Raza here, one of the other co-founders.
I know that HN likes to nerd out over technical details so thought I’d share a bit more on how we aggregate the noisy labels to clean them up.
At the moment we use the great Skweak [1] open source library to do this. Skweak uses an HMM to infer the most likely unobserved label given the evidence of the votes from each of the labelling functions.
This whole strategy of first training a label model and then training a neural net was pioneered by Snorkel. We’ve used this approach for now but we actually think there are big opportunities for improvement.
We’re working on an end-to-end approach that de-noises the labelling function and trains the model at the same time. So far we’ve seen improvements on the standard benchmarks [2] and are planning to submit to Neurips.
R
[1]: Skweak package: https://github.com/NorskRegnesentral/skweak
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The hand-picked selection of the best Python libraries released in 2021
skweak.
- Skweak: Weak Supervision for NLP
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Inevitable Manual Work involved in NLP
For more advanced unsupervised labeling, you should check skweak
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How to get Training data for NER?
I'm the main developer behind skweak by the way, happy to hear you're interested in our toolkit :-) We do already have a small list of products (see https://github.com/NorskRegnesentral/skweak/blob/main/data/products.json) extracted from DBPedia and Wikidata, but it may not be exactly the type of products you're looking for.
DearPy3D
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How does one make their own GUI from scratch? (no GUI libraries)
Dear PyGui is awesome and supports creating node editors. 3D is not really supported yet (although matrix functions are), but future versions will support 3D. The core developers are very much interested in 3D rendering. As a little test, Hoffstadt created DearPy3D. He is currently working on Pilotlight, which is still early stages and eventually will be the core of Dear PyGui version 3.
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The hand-picked selection of the best Python libraries released in 2021
Just a quick update since then is that Dear PyGui has reached version 1.0 and the API is now stable with a proper deprecation policy. Additional features include support for extremely dynamic tables, became faster still, introduction of the first steps into 3D and drawing transformations, support for multiple fonts, node editor and many small improvements and bug fixes. There are still many ideas for future development, including more 3D.
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Best gui framework for fast 2d operations and 3d render?
With regard to 3D, are you aware of DearPy3D by the same developers (still under development, also available under the MIT license)?
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Dear PyGui 3D Engine (Marvel)
hoffstadt/Marvel: Dear PyGui 3D Engine (early development) (github.com)
What are some alternatives?
snorkel - A system for quickly generating training data with weak supervision
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
argilla - Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
finetuner - :dart: Task-oriented embedding tuning for BERT, CLIP, etc.
AugLy - A data augmentations library for audio, image, text, and video.
magnum - Lightweight and modular C++11 graphics middleware for games and data visualization
snorkel - A system for quickly generating training data with weak supervision [Moved to: https://github.com/snorkel-team/snorkel]
evidently - Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Text-Summarization-using-NLP - Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization
awkward - Manipulate JSON-like data with NumPy-like idioms.
processing - Source code for the Processing Core and Development Environment (PDE)