PyABSA
tsai
| PyABSA | tsai | |
|---|---|---|
| 2 | 4 | |
| 874 | 4,730 | |
| - | 3.0% | |
| 5.1 | 7.4 | |
| 1 day ago | 23 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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.
PyABSA
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Extracting targeted sentiment from from product reviews
Check out: https://github.com/yangheng95/PyABSA
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[D] How to best extract product benefits/problems from customer reviews using NLP?
https://github.com/yangheng95/PyABSA - for extraction of aspects + corresponding sentiments
tsai
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Aeon: A unified framework for machine learning with time series
Also https://github.com/timeseriesAI/tsai
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What is the current state-of-art in sequence classification?
You might be interested in tsai. I am not affiliated with them and have not used tsai, but I have been planning to try it for too long … well :p
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[P] Deep Learning for time series forecasting (neuralforecast, python package)
how about tsai?
- Machine learning with Time series data
What are some alternatives?
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
MAPIE - A scikit-learn-compatible module for estimating prediction intervals.
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
SelSum - Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
glasgow-litter - A project that explores the relationship between deprivation and litter in Glasgow City. 🚯
nixtla - TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.