Dev tools · alternatives · 2026
24 alternatives to Natural Language Processing Demystified
Link: https://www.nlpdemystified.org/ Hi HN: After a year of work, I've published my free NLP course. The course helps anyone who knows Python and a bit of math go from the basics to today's mainstream models and frameworks. I strive to balance theory and practice, so every module consists of detailed explanations and slides along with a Colab notebook putting the ideas into practice (in most modules). The notebooks cover how to accomplish everyday NLP tasks including extracting key information, document search, text similarity, text classification, finding topics in…
Natural Language Processing Demystified is a free online course for Python developers with basic math knowledge seeking to learn NLP. It covers foundational concepts through modern models and frameworks, combining… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Natural Language Processing Demystified launched in 2022; newer entries below may have overtaken it.
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Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…
2022 · nlpdemystified.org · its alternatives →
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2013 · textblob.readthedocs.org · its alternatives →
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Python dev to an NLP data scientist with practical projects
2022 · its alternatives →
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:speech_balloon: Machine Learning Course with Python: - GitHub - instillai/machine-learning-course: :speech_balloon: Machine Learning Course with Python:
2019 · github.com · its alternatives →
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Learn how to build semantic search systems. From machine transition to question-answering.
2021 · pinecone.io · its alternatives →
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Discover insights and relationships in text
2017 · aws.amazon.com · its alternatives →
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I built this project as a way to learn more about NLP by applying it to something weird and unsolved. The Voynich Manuscript is a 15th-century book written in an unknown script. No one’s been able to translate it, and many think it’s a hoax, a cipher, or a constructed language. I wasn’t trying to decode it — I just wanted to see: does it behave like a structured language? I stripped a handful of common suffix-like endings (aiin, dy, etc.) to isolate what looked like root forms. I know that’s a strong assumption — I call it out directly in the repo — but it helped clarify the clustering. From…
2025 · github.com · its alternatives →
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Natural language API using Google machine learning
2016 · cloud.google.com · its alternatives →
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State of the art text understanding for developers
2018 · its alternatives →
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After working with LLMs for long enough, I found myself wanting a lightweight utility for doing various small tasks to prepare inputs, locate information and create evaluators. This library is two things: a very simple model and utilities that inference it (eg. fuzzy deduplication). The target platform is CPU, and it’s intended to be light, fast and pip installable — a library that lowers the barrier to working with strings semantically. You don’t need to install pytorch to use it, or any deep learning runtimes. How can this be accomplished? The model is simply token embeddings that are…
2024 · github.com · its alternatives →
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Would love thoughts! Here is the HF page: https://huggingface.co/chatdb/natural-sql-7b
2024 · github.com · its alternatives →
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TLDR: I’ve made a transformer model and a wrapper library that segments text into meaningful semantic chunks. The current text splitting approaches rely on heuristics (although one can use neural embedder to group semantically related sentences). I propose a fully neural approach to semantic chunking. I took the base distilbert model and trained it on a bookcorpus to split concatenated text paragraphs into original paragraphs. Basically it’s a token classification task. Model fine-tuning took day and a half on a 2x1080ti. The library could be used as a text splitter module in a RAG system or…
2025 · github.com · its alternatives →
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Full Stack Python explains programming concepts in plain language and provides links to the best tutorials for those topics.
2014 · fullstackpython.com · its alternatives →
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2021 · github.com · its alternatives →
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Explains programming language concepts in plain language.
2016 · fullstackpython.com · its alternatives →
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spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.
2015 · spacy.io · its alternatives →
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A robust Python tool for text-based AI training and generation using GPT-2. - minimaxir/aitextgen
2020 · github.com · its alternatives →
- 18AL
2025 · little-book-of.github.io · its alternatives →
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Hi HN community. We are excited to open source Dataherald’s natural-language-to-SQL engine today (https://github.com/Dataherald/dataherald). This engine allows you to set up an API from your structured database that can answer questions in plain English. GPT-4 class LLMs have gotten remarkably good at writing SQL. However, out-of-the-box LLMs and existing frameworks would not work with our own structured data at a necessary quality level. For example, given the question “what was the average rent in Los Angeles in May 2023?” a reasonable human would either assume the…
2023 · github.com · its alternatives →
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Language Lego. Contribute to ayoungprogrammer/Lango development by creating an account on GitHub.
2016 · github.com · its alternatives →
- 21KG
Hi HN! My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text. Some technical aspects you may be interested in: - Used structured generation to reliably parse unstructured text into a consistent schema - Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction - Created an interactive visualization using gephi-lite and Retina (WebGL) - Built (with Claude) a simple Flask web app to clean and…
2025 · theophilecantelob.re · its alternatives →
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Nanonets OCR▲197Intelligent text extraction using OCR and deep learning
2019 · case-study-page-nanonets.webflow.io · its alternatives →
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I previously posted this a month and a half ago: https://news.ycombinator.com/item?id=45876742 I have rewritten it to be much more simple, from 951 lines of code to just 364, with no loss in core functionality or generation quality. I also added a tiny GPT implementation as a comparison (inspired by Andrej Karpathy's code). The two model implementations are ~80% identical, with the core differences being the generate and get_batch functions. The model architecture, training loop, etc, differ in only 19 lines of code. Trained weights are included, so you can just clone and run…
Nov 2025 · github.com · its alternatives →
- 24PA
TL;DR: https://pyflo.net is a free, interactive guide to learning Python Hi Everyone, I am a CS educator who has taught a variety of university courses, including many on introductory Python programming. Over the past few years, I've written down a number of Python programming lessons and has culminated into Pyflo.net. This tool is a completely free, introductory guide to learning Python. It is more-or-less an intro programming textbook, but with a few twists, including: * It is totally free. You don't even have to give me your email to use it * The lessons are short and…
2023 · pyflo.net · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →