spacy-models
rasa
spacy-models | rasa | |
---|---|---|
3 | 16 | |
1,515 | 17,984 | |
1.3% | 1.0% | |
9.2 | 9.6 | |
5 months ago | 6 days ago | |
Python | Python | |
- | 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.
spacy-models
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spacy Can't find model 'en_core_web_sm' on windows 10 and Python 3.5.3 :: Anaconda custom (64-bit)
(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>conda install -c conda-forge spacyFetching package metadata .............Solving package specifications: .Package plan for installation in environment C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder:The following NEW packages will be INSTALLED: blas: 1.0-mkl cymem: 1.31.2-py35h6538335_0 conda-forge dill: 0.2.8.2-py35_0 conda-forge msgpack-numpy: 0.4.4.2-py_0 conda-forge murmurhash: 0.28.0-py35h6538335_1000 conda-forge plac: 0.9.6-py_1 conda-forge preshed: 1.0.0-py35h6538335_0 conda-forge pyreadline: 2.1-py35_1000 conda-forge regex: 2017.11.09-py35_0 conda-forge spacy: 2.0.12-py35h830ac7b_0 conda-forge termcolor: 1.1.0-py_2 conda-forge thinc: 6.10.3-py35h830ac7b_2 conda-forge tqdm: 4.29.1-py_0 conda-forge ujson: 1.35-py35hfa6e2cd_1001 conda-forgeThe following packages will be UPDATED: msgpack-python: 0.4.8-py35_0 --> 0.5.6-py35he980bc4_3 conda-forgeThe following packages will be DOWNGRADED: freetype: 2.7-vc14_2 conda-forge --> 2.5.5-vc14_2Proceed ([y]/n)? yblas-1.0-mkl.t 100% |###############################| Time: 0:00:00 0.00 B/scymem-1.31.2-p 100% |###############################| Time: 0:00:00 1.65 MB/smsgpack-python 100% |###############################| Time: 0:00:00 5.37 MB/smurmurhash-0.2 100% |###############################| Time: 0:00:00 1.49 MB/splac-0.9.6-py_ 100% |###############################| Time: 0:00:00 0.00 B/spyreadline-2.1 100% |###############################| Time: 0:00:00 4.62 MB/sregex-2017.11. 100% |###############################| Time: 0:00:00 3.31 MB/stermcolor-1.1. 100% |###############################| Time: 0:00:00 187.81 kB/stqdm-4.29.1-py 100% |###############################| Time: 0:00:00 2.51 MB/sujson-1.35-py3 100% |###############################| Time: 0:00:00 1.66 MB/sdill-0.2.8.2-p 100% |###############################| Time: 0:00:00 4.34 MB/smsgpack-numpy- 100% |###############################| Time: 0:00:00 0.00 B/spreshed-1.0.0- 100% |###############################| Time: 0:00:00 0.00 B/sthinc-6.10.3-p 100% |###############################| Time: 0:00:00 5.49 MB/sspacy-2.0.12-p 100% |###############################| Time: 0:00:10 7.42 MB/s(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>python -VPython 3.5.3 :: Anaconda custom (64-bit)(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>python -m spacy download enCollecting en_core_web_sm==2.0.0 from https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz#egg=en\_core\_web\_sm==2.0.0 Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz (37.4MB) 100% |################################| 37.4MB ...Installing collected packages: en-core-web-sm Running setup.py install for en-core-web-sm ... doneSuccessfully installed en-core-web-sm-2.0.0 Linking successful C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder\lib\site-packages\en_core_web_sm --> C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder\lib\site-packages\spacy\data\en You can now load the model via spacy.load('en')(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>
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word similarity vs. sentence similarity
Well the medium model is using Glove (common crawl) for word vectors. There are only 685K keys so depending on the corpus you are working with, its possible lots of the words you are interested in don't have a corresponding vector and end up as zero vectors. Spacy Document/Span vectors are simply averages of the word vectors. So the higher performance of phrases may simply be because there is a higher chance of non Out of Vocabulary (OOV) words. So less chance of a zero vector.
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SpaCy VS Transformers for NER
spaCy vs transformers isn't really a good comparison. You can plug a variety of things into spaCy's NLP pipelines, including Huggingface's transformer models. spaCy 3, in particular, has pre-built models with Huggingface's transformers, like en_core_web_trf.
rasa
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🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
Support Rasa on GitHub ⭐
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RasaGPT: First headless LLM chatbot built on top of Rasa, Langchain and FastAPI
It itself is not a GPT. It is a a framework of a framework project built on top of Rasa (https://github.com/RasaHQ/rasa) and Langchain which by default uses gpt3.5-turbo (change it in the .env file) or any foundation model you wish.
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Problem with RASA Open Source "The client is using an unsupported version of the Socket.IO or Engine.IO"
There was already a GitHub issue https://github.com/RasaHQ/rasa/issues/11084 but it seems like there was no solution provided.
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I plan to build my own AI powered search engine for my portfolio. Do you know ones that are open-source?
Rasa - also an open source platform. You can use it to build chatbots that are more in line with customer service and sales. Reading that, it’s kind of a big yikes for people under this kind of job knowing you can automate a part of their job via a chatbot. I think they also have a Pro version which is an extension that has additional analytics and probably more security features. I probably will check out the Open source one first and maybe ask about what the Pro version is.
- How to Installing Rasa & Building Rasa Chatbot on an M1 Macbook.
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Show HN: Flex – transpile natural language to a programming language
At the moment it can recognise the type of statements in the training data set [1] and transpile them to Python, Java or C++ using the mappings defined here [2].
This is very different from how Codex/Autopilot work as it is trained using an NLU framework [3] which is usually used for training chatbots.
[1]: https://github.com/Flex-lang/transpiler/tree/master/transpil...
[2]: https://github.com/Flex-lang/transpiler/tree/master/transpil...
[3]: https://github.com/RasaHQ/rasa
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Seek alternative to Wix chatbox.
Check out Rasa
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Meet Jeanie - Your AI Powered Virtual Girlfriend - Beta
It looks like it is built upon a Chatbot platform called “messengerx.io”, which itself seems to be built upon an open-source/machine-learning framework for voice/text conversations called “Rasa”
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What are some good languages if you want to code AI?
Use Python and use the Rasa framework to make a chat bot. https://rasa.com/docs/
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How to Create the Perfect README for Your Open Source Project
This example is sourced from RasaHQ
What are some alternatives?
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
ChatterBot - ChatterBot is a machine learning, conversational dialog engine for creating chat bots
MAX-Toxic-Comment-Classifier - Detect 6 types of toxicity in user comments.
opendialog - OpenDialog is a Conversational Experience Platform - the starting point for your own conversational applications.
thinc-apple-ops - 🍏 Make Thinc faster on macOS by calling into Apple's native Accelerate library
chatwoot - Open-source live-chat, email support, omni-channel desk. An alternative to Intercom, Zendesk, Salesforce Service Cloud etc. 🔥💬
pytextrank - Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
tock - Tock, the open source conversational AI toolkit.
Dragonfire - the open-source virtual assistant for Ubuntu based Linux distributions
botman - A framework agnostic PHP library to build chat bots
textacy - NLP, before and after spaCy
botkit - Botkit is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.