ZuzooVn / machine-learning-for-software-engineersLinks
A complete daily plan for studying to become a machine learning engineer.
☆28,705Updated last year
Alternatives and similar repositories for machine-learning-for-software-engineers
Users that are interested in machine-learning-for-software-engineers are comparing it to the libraries listed below
Sorting:
- Minimal and clean examples of machine learning algorithms implementations☆10,942Updated 7 months ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,748Updated 10 months ago
- The most cited deep learning papers☆26,091Updated 2 years ago
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)☆11,382Updated 3 years ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆71,493Updated 3 weeks ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆39,455Updated 3 years ago
- machine learning and deep learning tutorials, articles and other resources☆17,484Updated last year
- A list of popular github projects related to deep learning☆6,109Updated last year
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,581Updated last year
- A curated list of awesome Deep Learning tutorials, projects and communities.☆27,352Updated 8 months ago
- 100 Days of ML Coding☆49,488Updated 2 years ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,824Updated last year
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,398Updated 6 years ago
- Minimal examples of data structures and algorithms in Python☆24,955Updated this week
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆30,448Updated 2 years ago
- A curated list of resources dedicated to Natural Language Processing (NLP)☆18,148Updated this week
- An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks☆5,117Updated 4 years ago
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆24,103Updated 2 months ago
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,784Updated last year
- An awesome Data Science repository to learn and apply for real world problems.☆28,175Updated this week
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆4,444Updated 2 years ago
- A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.☆6,257Updated 5 years ago
- Oxford Deep NLP 2017 course☆15,867Updated 2 years ago
- 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.☆31,118Updated last year
- An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.☆4,782Updated 3 years ago
- Introduction to Deep Neural Networks with Keras and Tensorflow☆2,971Updated 2 years ago
- A curated list of data science blogs☆6,367Updated last year
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆46,034Updated last year
- TensorFlow tutorials and best practices.☆8,616Updated 5 years ago
- Your new Mentor for Data Science E-Learning.☆14,312Updated 3 months ago