neuralcoref
emlearn-micropython
| neuralcoref | emlearn-micropython | |
|---|---|---|
| 6 | 1 | |
| 2,799 | 45 | |
| 0.0% | - | |
| 0.0 | 8.7 | |
| about 1 year ago | 4 days ago | |
| C | C | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
neuralcoref
- [NLP] Replace paragraph’s pronouns with name?
-
What kind of processing power would I need to re-train the neuralcoref model?
Training instructions: https://github.com/huggingface/neuralcoref/blob/master/neuralcoref/train/training.md
-
I need help installing a package.
Besides that, you may also try searching for your problem on GitHub Issues, or create an issue yourself if you can't find an existing one.
- Best available pronoun coreference resolution systems?
-
Web app for doing coreference resolution and outputting file in ".conll" format
I guess you have tried neuralcoref already https://github.com/huggingface/neuralcoref ?
-
[D] Does anyone know of coreference resolution tools where you can specify the entity?
Hi. Let me elaborate on the title. I'm currently working on paragraph-level data and want to perform coreference resolution. I've tried working with spaCy's NeuralCoref, and although it works great it receives a string as input and returns all entities and mentions it deems appropriate. Rather than that I'm looking for something where you can specify the entity and the model will return all such instances for that particular entity.
emlearn-micropython
-
MicroPython native modules + emlearn = fast Machine Learning with easy install
And thanks to the dynamic native modules support in MicroPython this was possible. The project now provides small .mpy files with the compiled C code (around 3 kB), with nice Python APIs to common Machine Learning models. https://github.com/emlearn/emlearn-micropython
What are some alternatives?
libpostal - A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
PikaPython - An ultra-lightweight Python interpreter that runs with only 4KB of RAM, zero dependencies. It is ready to use out of the box without any configuration required and easy to extend with C. Similar project: MicroPython, JerryScript.
spacy-experimental - 🧪 Cutting-edge experimental spaCy components and features
pycopy - Pycopy - a minimalist and memory-efficient Python dialect. Good for desktop, cloud, constrained systems, microcontrollers, and just everything.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
dc540-0x00002 - DC540 hacking challenge 0x00002 [MicroPython CTF].
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
circuitpython - CircuitPython - a Python implementation for teaching coding with microcontrollers
coreferee - Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages
MicroPython - MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
pytorch-forecasting - Time series forecasting with PyTorch