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Lectures

Appears in 4 awesome lists

Lecture materials from Oxford's Deep Natural Language Processing course.

Open github.comoxford-cs-deepnlp-2017/lectures

Found in these lists

Awesome CS Courses

Section: Machine Learning

StaleScore 54

Awesome Data Analysis

Section: Resources · Lecture materials from Oxford's Deep Natural Language Processing course.

FreshScore 80

awesome-nlp

Section: Videos and Online Courses · Lectures series from Oxford

FreshScore 90

Courses

Section: Deep Learning · 🆓

StaleScore 47

Awesome NLP

A ranked list of awesome Python libraries for natural language processing (NLP).

In 6 listsDetails

fastai

Deep learning library providing practitioners with high-level components for state-of-the-art results. Built on PyTorch with a focus on usability and transfer learning. Apache 2.0 licensed.

In 6 listsDetails

斯坦福 CS25: Transformers United V4

This course delves into the transformative role of Transformers in deep learning, particularly their impact on the advancement of language models like ChatGPT and GPT-4.

In 5 listsDetails

YSDA NLP Course

YSDA course in Natural Language Processing with 2025 materials covering text classification, language models, transformers, and modern NLP techniques. MIT licensed.

In 4 listsDetails

Cohere LLM University

free course on LLMs, embeddings, semantic search, and NLP applications.

In 3 lists

Deep Learning for Natural Language Processing (cs224-n)

This course provides a comprehensive insight into Deep Learning for NLP using PyTorch, emphasizing end-to-end neural models, eliminating the need for task-specific feature engineering, and equipping students with the skills to craft their own neural network solutions.

In 3 lists

NLTK Book

An online and print book introducing NLP concepts using NLTK. The book's authors also wrote the NLTK library.

In 3 lists

CS 231n

Convolutional Neural Networks for Visual Recognition Stanford University; Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. This course is a deep dive into details of the deep learning…

In 3 lists