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Top 23 Python NLP Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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HanLP
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
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datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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rasa
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
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haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
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PaddleHub
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)
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PaddleNLP
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
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TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
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petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
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attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
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Stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
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txtai
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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Sure, knowing the basics of LLM math is necessary. But it's also _enough_ to know this math to fully grasp the code. There are only 4 concepts - attention, feed-forward net, RMS-normalization and rotary embeddings - organized into a clear structure.
Now compare it to the Hugginface implementation [1]. In addition to the aforementioned concepts, you need to understand the hierarchy of `PreTrainedModel`s, 3 types of attention, 3 types of rotary embeddings, HF's definition of attention mask (which is not the same as mask you read about in transformer tutorials), several types of cache class, dozens of flags to control things like output format or serialization, etc.
It's not that Meta's implementation is good and HF's implementation is bad - they pursue different goals in their own optimal way. But if you just want to learn how the model works, Meta's code base is great.
[1]: https://github.com/huggingface/transformers/blob/main/src/tr...
In 2019, a new language representation called BERT (Bedirectional Encoder Representation from Transformers) was introduced. The main idea behind this paradigm is to first pre-train a language model using a massive amount of unlabeled data then fine-tune all the parameters using labeled data from the downstream tasks. This allows the model to generalize well to different NLP tasks. Moreover, it has been shown that this language representation model can be used to solve downstream tasks without being explicitly trained on, e.g classify a text without training phase.
Project mention: How I discovered Named Entity Recognition while trying to remove gibberish from a string. | dev.to | 2024-05-06
Project mention: 🐍🐍 23 issues to grow yourself as an exceptional open-source Python expert 🧑💻 🥇 | dev.to | 2023-10-19
Project mention: 🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬 | dev.to | 2023-11-06Support Rasa on GitHub ⭐
I'd like to share with you today the Chinese-Alpaca-Plus-13B-GPTQ model, which is the GPTQ format quantised 4bit models of Yiming Cui's Chinese-LLaMA-Alpaca 13B for GPU reference.
Project mention: Haystack DB – 10x faster than FAISS with binary embeddings by default | news.ycombinator.com | 2024-04-28I was confused for a bit but there is no relation to https://haystack.deepset.ai/
alternatively, could we not simply split by common characters such as newlines and periods, to split it within sentences? it would be fragile with special handling required for numbers with decimal points and probably various other edge cases, though.
there are also Python libraries meant for natural language parsing[0] that could do that task for us. I even see examples on stack overflow[1] that simply split text into sentences.
[0]: https://www.nltk.org/
TextBlob is a Python toolkit for text processing. It offers some common NLP functionalities such as part-of-speech tagging and noun phrase extraction. We’ll use TextBlob in our project to perform some quick sentiment analysis on tweets.
So how long until we can do an open source Mistral Large?
We could make a start on Petals or some other open source distributed training network cluster possibly?
[0] https://petals.dev/
Project mention: ElevenLabs Launches Voice Translation Tool to Break Down Language Barriers | news.ycombinator.com | 2023-10-10The transformer model was invented to attend to context over the entire sequence length. Look at how the original authors used the Transformer for NMT in the original Vaswani et al publication. https://github.com/jadore801120/attention-is-all-you-need-py...
Project mention: Show HN: FileKitty – Combine and label text files for LLM prompt contexts | news.ycombinator.com | 2024-05-01
Project mention: DeepSeek-V2 integrated, RAGFlow v0.5.0 is released | news.ycombinator.com | 2024-05-07
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python NLP related posts
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Llama3.np: pure NumPy implementation of Llama3
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GPT-4o: Learn how to Implement a RAG on the new model, step-by-step!
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XLSTM: Extended Long Short-Term Memory
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Zero Shot Text Classification Under the hood
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LangFun: Object oriented data programs using LLMs
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AI enthusiasm #9 - A multilingual chatbot📣🈸
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What contributing to Open-source is, and what it isn't
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A note from our sponsor - SaaSHub
www.saashub.com | 17 May 2024
Index
What are some of the best open-source NLP projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | transformers | 126,170 |
| 2 | bert | 37,119 |
| 3 | HanLP | 32,512 |
| 4 | spaCy | 28,849 |
| 5 | datasets | 18,480 |
| 6 | unilm | 18,548 |
| 7 | rasa | 18,037 |
| 8 | Chinese-LLaMA-Alpaca | 17,539 |
| 9 | best-of-ml-python | 15,633 |
| 10 | gensim | 15,289 |
| 11 | haystack | 13,883 |
| 12 | flair | 13,598 |
| 13 | NLTK | 13,072 |
| 14 | PaddleHub | 12,539 |
| 15 | PaddleNLP | 11,515 |
| 16 | TextBlob | 8,965 |
| 17 | petals | 8,730 |
| 18 | attention-is-all-you-need-pytorch | 8,492 |
| 19 | text-generation-inference | 7,995 |
| 20 | GPT2-Chinese | 7,366 |
| 21 | Stanza | 7,064 |
| 22 | txtai | 7,080 |
| 23 | ragflow | 7,404 |
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