dive-into-machine-learning / dive-into-machine-learningLinks
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
☆11,317Updated 3 years ago
Alternatives and similar repositories for dive-into-machine-learning
Users that are interested in dive-into-machine-learning are comparing it to the libraries listed below
Sorting:
- A curated list of data science blogs☆6,358Updated last year
- machine learning and deep learning tutorials, articles and other resources☆16,334Updated last year
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,308Updated last year
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,445Updated 7 months ago
- From the basics to slightly more interesting applications of Tensorflow☆5,662Updated 3 years ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,360Updated 3 months ago
- A list of popular github projects related to deep learning☆5,958Updated last year
- A complete daily plan for studying to become a machine learning engineer.☆28,509Updated last year
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆26,078Updated last year
- A curated list of awesome Machine Learning frameworks, libraries and software.☆68,640Updated this week
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,235Updated 5 years ago
- Oxford Deep NLP 2017 course☆15,850Updated last year
- Simple tutorials using Google's TensorFlow Framework☆6,017Updated last year
- An awesome Data Science repository to learn and apply for real world problems.☆26,714Updated this week
- TensorFlow tutorials and best practices.☆8,614Updated 4 years ago
- Minimal and clean examples of machine learning algorithms implementations☆10,858Updated 2 weeks ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,358Updated 4 years ago
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,664Updated 11 months ago
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,177Updated last year
- Repository of teaching materials, code, and data for my data analysis and machine learning projects.☆6,328Updated 2 years ago
- common data analysis and machine learning tasks using python☆5,456Updated last year
- The most cited deep learning papers☆25,881Updated last year
- A curated list of awesome Deep Learning tutorials, projects and communities.☆25,534Updated last month
- Open Content for self-directed learning in data science☆2,967Updated last month
- An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks☆5,115Updated 3 years ago
- Simple and ready-to-use tutorials for TensorFlow☆4,521Updated 4 years ago
- Recurrent Neural Network - A curated list of resources dedicated to RNN☆6,141Updated 3 years ago
- A collection of IPython notebooks covering various topics.☆2,613Updated 4 years ago
- A curated list of resources dedicated to Natural Language Processing (NLP)☆17,263Updated last year
- Deep Learning Tutorial notes and code. See the wiki for more info.☆4,131Updated 4 years ago