neuralcoref
✨Fast Coreference Resolution in spaCy with Neural Networks (by huggingface)
pytorch-forecasting
Time series forecasting with PyTorch (by sktime)
| neuralcoref | pytorch-forecasting | |
|---|---|---|
| 7 | 9 | |
| 2,885 | 4,698 | |
| 0.0% | 1.6% | |
| 0.0 | 8.8 | |
| over 2 years ago | 2 days ago | |
| C | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of neuralcoref. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-08-23.
- SpaCy: Industrial-Strength Natural Language Processing (NLP) in Python
Edit: I almost forgot to add this little nugget of history: one of Huggingfaces first projects was a SpaCy extension for conference resolution. Built before their breakthrough with transformers https://github.com/huggingface/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.
pytorch-forecasting
Posts with mentions or reviews of pytorch-forecasting. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-14.
- FLaNK Stack Weekly for 14 Aug 2023
- 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.
- [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
- 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
- [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
- 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).
- 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?
When comparing neuralcoref and pytorch-forecasting you can also consider the following projects:
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
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
thinc-apple-ops - 🍏 Make Thinc faster on macOS by calling into Apple's native Accelerate library
Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.