ML-Papers-of-the-Week
nlphose
| ML-Papers-of-the-Week | nlphose | |
|---|---|---|
| 2 | 4 | |
| 9,000 | 10 | |
| 4.8% | - | |
| 8.5 | 2.7 | |
| 2 days ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | 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.
ML-Papers-of-the-Week
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[D] Where can I find a list of the foundational academic papers in RL/ML/DL and what are your go-to places to find new academic papers in RL/ML/DL?
Labml.ai stopped working in May. I like https://github.com/dair-ai/ML-Papers-of-the-Week
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What an Insane Week in AI
This is what works for me so far:
- This repo has a list of important papers at the end of every week: https://github.com/dair-ai/ML-Papers-of-the-Week
nlphose
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NlphoseBuilder : A tool to create NLP pipelines via drag and drop
The tool generates a nlphose command that can be executed in a docker container to run the pipeline. These pipelines can process streaming text like tweets or static data like files. They can be executed just like normal shell command using nlphose. Let me show you what I mean !
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Create NLP pipelines with drag and drop
Recently I have started work on query builder GUI for my open source project nlphose.
- nlphose is a collection of command line utilities, which can be piped together to create complex NLP pipelines for processing stream of tweets (or any other textual data). Currently supports sentiment analysis, 0-shot classification, Q&A, NER, Chunking.
- nlphose : A collection of utilities, which can be piped together to create complex NLP pipelines for processing tweets (and other data); inspired by the “Unix tools philosophy”. Currently supports sentiment analysis, question answering , zero-shot classification, language detection, NER, chunking
What are some alternatives?
fastMONAI - Simplifying deep learning for medical imaging
ABSA-PyTorch - Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
CAH - Code used for Cards Against Humanity EMNLP paper
nlphoseGUI - This tool allows you to create Natural Language Processing pipelines for use with nlphose using a Blockly based GUI editor in any browser. As you create a pipeline it shows you the corresponding nlphose command which will execute the pipeline.
Goodreads-Review-Webscraping-and-Text-Analysis - Goodreads review data along with scraping functions and machine learning models for spam detection
blockly - The web-based visual programming editor.
ai-topics - Hot topics on AI
wink-eng-lite-model - English lite language model for wink-nlp.
awesome-sentiment-analysis - Repository with all what is necessary for sentiment analysis and related areas
FinBERT - A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
SuiSense - Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge)