ZuzooVn / machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
☆28,398Updated 9 months ago
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
- machine learning and deep learning tutorials, articles and other resources☆16,016Updated 9 months ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆67,346Updated last month
- The most cited deep learning papers☆25,777Updated last year
- Oxford Deep NLP 2017 course☆15,703Updated last year
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆24,370Updated last year
- A curated list of awesome Deep Learning tutorials, projects and communities.☆24,994Updated 10 months ago
- TensorFlow tutorials and best practices.☆8,619Updated 4 years ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,248Updated 2 weeks ago
- A list of popular github projects related to deep learning☆5,935Updated last year
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)☆11,289Updated 2 years ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆38,865Updated 2 years ago
- An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.☆4,756Updated 2 years ago
- A curated list of resources dedicated to Natural Language Processing (NLP)☆17,047Updated last year
- List of awesome university courses for learning Computer Science!☆59,663Updated last year
- A complete computer science study plan to become a software engineer.☆313,694Updated 3 months ago
- This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to …☆8,942Updated 5 years ago
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,180Updated 5 years ago
- Minimal and clean examples of machine learning algorithms implementations☆10,811Updated last year
- A curated list of data science blogs☆6,349Updated 9 months ago
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,372Updated 4 months ago
- An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks☆5,099Updated 3 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆4,450Updated 2 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆38,336Updated 7 months ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,362Updated 4 months ago
- 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.☆30,075Updated 10 months ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,016Updated last year
- Simple and ready-to-use tutorials for TensorFlow☆4,524Updated 4 years ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,338Updated 4 years ago
- An awesome Data Science repository to learn and apply for real world problems.☆25,962Updated 3 weeks ago
- A curated list of deep learning resources for computer vision☆10,926Updated last year