neuralcoref
pytorch-forecasting
neuralcoref | pytorch-forecasting | |
---|---|---|
6 | 9 | |
2,799 | 3,625 | |
0.0% | - | |
0.0 | 8.6 | |
about 1 year ago | 5 days ago | |
C | Python | |
MIT License | MIT License |
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neuralcoref
- [NLP] Replace paragraph’s pronouns with name?
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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
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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?
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Web app for doing coreference resolution and outputting file in ".conll" format
I guess you have tried neuralcoref already https://github.com/huggingface/neuralcoref ?
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[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.
pytorch-forecasting
- FLaNK Stack Weekly for 14 Aug 2023
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Pytorch Lstm
Source: Conversation with Bing, 4/5/2023 (1) jdb78/pytorch-forecasting: Time series forecasting with PyTorch - GitHub. https://github.com/jdb78/pytorch-forecasting. (2) Time Series Prediction with LSTM Using PyTorch - Colaboratory. https://colab.research.google.com/github/dlmacedo/starter-academic/blob/master/content/courses/deeplearning/notebooks/pytorch/Time_Series_Prediction_with_LSTM_Using_PyTorch.ipynb. (3) time-series-classification · GitHub Topics · GitHub. https://github.com/topics/time-series-classification. (4) PyTorch: Dataloader for time series task - Stack Overflow. https://stackoverflow.com/questions/57893415/pytorch-dataloader-for-time-series-task.
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[D] What is the best approach to create embeddings for time series with additional historical events to use with Transformers model?
Temporal fusion transformer https://github.com/jdb78/pytorch-forecasting
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LSTM/CNN architectures for time series forecasting[Discussion]
Pytorch-forecasting
- Can someone help me with this? It's been days that i struggle with this problem, Forecasting w DeepAR
- Can someone help me with this? it's been days that i struggle with this problem
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[P] Beware of false (FB-)Prophets: Introducing the fastest implementation of auto ARIMA [ever].
To name a few: https://github.com/jdb78/pytorch-forecasting, https://github.com/unit8co/darts, https://github.com/Nixtla/neuralforecast
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When to go for an 'easy' time-series model vs. using a complex deep learning model (when having experience with the latter)
I'm a data trainee at this organisation. I wrote my master thesis about using an event clustering mechanism to enrich an existing dataset to improve short-term demand predictions, using Pytorch Forecasting using the temporal fusion transformer component, and LightGBM (and compare the models with and w/o the event feature, so 4 runs in total).
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A python library for easy manipulation and forecasting of time series.
Darts is a pretty nice one. I've recently been using pytorch-forecasting for larger models like the Temporal Fusion Transformer. https://github.com/jdb78/pytorch-forecasting
What are some alternatives?
libpostal - A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
spacy-experimental - 🧪 Cutting-edge experimental spaCy components and features
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
Lime-For-Time - Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
coreferee - Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
emlearn-micropython - Efficient Machine Learning engine for MicroPython
tslearn - The machine learning toolkit for time series analysis in Python