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Top 23 Jupyter Notebook Natural Language Processing Projects
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Data-science
Collection of useful data science topics along with articles, videos, and code (by khuyentran1401)
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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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ecco
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
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transformers-interpret
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
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ThoughtSource
A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/
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hate-speech-and-offensive-language
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
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fromage
🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
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adaptnlp
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: [D] How do you keep up to date on Machine Learning? | /r/learnmachinelearning | 2023-08-13Made With ML
I really like the simplicity of this framework, and they hit on a lot of common problems found in other agent-based frameworks. Most intrigued by the RAG improvements.
Seems like Microsoft was frustrated with the pace of movement in this space and the shitty results of agents (which admittedly kept my interest turned away from agents for the last few months). I'm interested again because it makes practical sense, and from looking at the example notebooks, seems fairly easy to integrate into existing applications.
Maybe this is the 'low code' approach that might actually work, and bridge together engineering and non-engineering resources.
This example was what caught my eye: https://github.com/microsoft/FLAML/blob/main/notebook/autoge...
Project mention: Looking for Paper about LLM Fine Tuning for specific topic / Alignment Paper | /r/LocalLLaMA | 2023-12-09
Project mention: Ask HN: What's the coolest non standard application of LLMs you've seen? | news.ycombinator.com | 2023-12-23(6 years ago)
Aligning the fastText vectors of 78 languages
https://github.com/babylonhealth/fastText_multilingual/blob/...
I have seen models which do something similar but the questions they ask are not in a Yes/No style such as this T5 - based Question Generator. Essentially, I was wondering how I would go about developing such a model.
Project mention: New AI Spam Detection Deployed to Gmail and Open Sourced by Google | news.ycombinator.com | 2023-12-13
Jupyter Notebook Natural Language Processing related posts
- New AI Spam Detection Deployed to Gmail and Open Sourced by Google
- [D] How do you keep up to date on Machine Learning?
- Open-Source Production Machine Learning Course
- Advice for switching careers within analytics
- Ask HN: Resource to learn how to train and use ML Models
- Need help to find resources to learn ml ops
- MLops Resources
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A note from our sponsor - InfluxDB
www.influxdata.com | 28 Apr 2024
Index
What are some of the best open-source Natural Language Processing projects in Jupyter Notebook? This list will help you:
Project | Stars | |
---|---|---|
1 | Made-With-ML | 35,656 |
2 | nlp-tutorial | 13,691 |
3 | nlpaug | 4,252 |
4 | pytorch-sentiment-analysis | 4,225 |
5 | Data-science | 3,954 |
6 | FLAML | 3,679 |
7 | adapters | 2,390 |
8 | ml-course | 2,039 |
9 | pythoncode-tutorials | 2,002 |
10 | ecco | 1,903 |
11 | bert_score | 1,421 |
12 | EasyEdit | 1,385 |
13 | transformers-interpret | 1,212 |
14 | fastText_multilingual | 1,186 |
15 | question_generation | 1,070 |
16 | ThoughtSource | 833 |
17 | hate-speech-and-offensive-language | 750 |
18 | conformal-prediction | 640 |
19 | malaya | 456 |
20 | fromage | 456 |
21 | adaptnlp | 414 |
22 | bert-sklearn | 293 |
23 | retvec | 268 |
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