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yandexdataschool/nlp_course Alternatives

NLP education / course materials

Yandex School of Data Analysis (YSDA) course on Natural Language Processing, providing lectures, seminars, and homework for the 2025 iteration.

10.7kJupyter NotebookMITactive · last push 23d agoGitHub

Same job, different approach

Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.

stanford-cs336/lecturesGitHub

Choose it for a hands-on, implementation-focused language modeling course instead of a broad NLP survey.

3.8k
Python
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active29d ago

Older generation, or narrower

An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.

oxford-cs-deepnlp-2017/lecturesGitHub

Choose it if you want a classic 2017 Oxford deep NLP course with video lectures, though it lacks modern LLM content.

Oxford Deep NLP 2017 course

15.9k
none
dormant3.3y ago
khanhnamle1994/natural-language-processingGitHub

Old Stanford CS224n materials; choose it only for historical assignments, not as a current course.

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

483
Python
none
dormant8.6y ago
jacobeisenstein/gt-nlp-classGitHub

Choose it for a traditional NLP course with a textbook-style approach, though updates stopped years ago.

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

5.1k
TeX
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dormant3.7y ago
craffel/llm-seminarGitHub

Choose it for a seminar specifically on large language models, not a full NLP curriculum.

Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)

313
none
dormant3.9y ago
thunlp/BMCourseGitHub

A course on big models/pre-trained transformers, narrower than a general NLP course and from a few years ago.

The repo for Tsinghua summer course: Interdisciplinary Seminar on Big Models

371
Python
none
dormant4.2y ago

Listed as an alternative to

These projects were analysed and named nlp_course among their alternatives. The relationship is not symmetric — how nlp_course rates them is a separate judgement, made when nlp_course is analysed in its own right.

oxford-cs-deepnlp-2017/lecturesGitHub

calls nlp_course “Active, MIT-licensed NLP course with modern deep learning content and assignments; choose for up-to-date material over the 2017 Oxford slides.”

Oxford Deep NLP 2017 course

15.9kdormant
graykode/nlp-tutorialGitHub

calls nlp_course “Choose for a full NLP course with lectures and assignments; more structured than the seed's code snippets.”

Natural Language Processing Tutorial for Deep Learning Researchers

14.9kJupyter Notebookdormant