A fastai-based book and notebook course for deep learning, a different pedagogical approach and library-focused.
The fastai book, published as Jupyter Notebooks
- 25.3k
- Jupyter Notebook
- NOASSERTION
machine learning / deep learning / NLP education
A Chinese-language knowledge base and code repository covering machine learning, deep learning, and NLP, focused on interview preparation.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
A fastai-based book and notebook course for deep learning, a different pedagogical approach and library-focused.
The fastai book, published as Jupyter Notebooks
Book companion for ML, different format (book chapters) and focused on ML rather than DL/NLP.
The "Python Machine Learning (1st edition)" book code repository and info resource
MIT course labs with a structured curriculum, different approach (course/lab) focused on deep learning.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
University deep learning course notebooks with assignments, a different structured approach.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
A comprehensive AI curriculum with lessons, a more structured course approach than the seed's reference guide.
12 Weeks, 24 Lessons, AI for All!
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
TensorFlow-specific examples, narrower than ML-NLP and unmaintained for over two years.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Covers classical ML algorithms only, a subset of the seed's scope.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Chinese deep-learning tutorial (Hung-yi Lee), narrower than the seed's full ML/DL/NLP coverage.
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Old TensorFlow-specific tutorials, narrower and outdated.
:satellite: Simple and ready-to-use tutorials for TensorFlow
Minimal ML algorithm implementations, a narrow subset without DL/NLP.
Minimal and clean examples of machine learning algorithms implementations
A collection of ML examples, narrower than the seed's all-encompassing interview guide.
A collection of machine learning examples and tutorials.
Chinese PyTorch-specific tutorials, narrower and older (no recent updates).
Build your neural network easy and fast, 莫烦Python中文教学
TensorFlow-specific cookbook code, narrower and unmaintained.
Code for Tensorflow Machine Learning Cookbook
Old TensorFlow tutorial, narrower and outdated.
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
A collection of DL experiments and notes, less structured and narrower than seed.
Videos, notes and experiments to understand deep learning
NLP-only course from 2017, narrower and outdated.
Oxford Deep NLP 2017 course
An older, narrower version by the same author covering only base ML model introductions.
机器学习基本模型算法介绍(附加案例)
Archived TensorFlow tutorial for an old Stanford course, narrow and outdated.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Chinese notes for Andrew Ng's ML course, narrower and tied to that course.
吴恩达老师的机器学习课程个人笔记
These projects were analysed and named ML-NLP among their alternatives. The relationship is not symmetric — how ML-NLP rates them is a separate judgement, made when ML-NLP is analysed in its own right.
calls ML-NLP “Choose for a similar AI interview-prep collection with code examples and a focus on NLP; actively maintained and Chinese-language.”
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
calls ML-NLP “When you want a broad, actively-maintained collection of ML/DL/NLP tutorials and interview-oriented code, a strong drop-in peer for the seed.”
A collection of machine learning examples and tutorials.
calls ML-NLP “Choose this if you need a Chinese ML/DL/NLP knowledge base organized for interviews rather than a step-by-step curriculum.”
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
calls ML-NLP “Choose this when you need a Chinese ML/NLP knowledge and code reference for job interviews.”
吴恩达老师的机器学习课程个人笔记
calls ML-NLP “An interview-prep knowledge and code collection, not a focused from-scratch implementation.”
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
calls ML-NLP “choose for a broader ML/DL/NLP interview revision with code snippets.”
100-Days-Of-ML-Code中文版