A collection of awesome Machine Learning and Deep Learning resources.

Contributions are always welcome!

Resources

• Resources
  • Courses
  • Tutorials
  • Jupyter Notebooks
  • Books
  • Videos
  • Blogs

Courses

Courses that can you take alongside PyTorch scholarship course both Python and Machine Learning

• Coursera’ Machine Learning Course by Stanford

• Coursera’ Deep learning Specialization taught by Andrew Ng

• Introductory courses(few hours each) about Python, ML, Pandas Data Visualisation, SQL, R, Deep Learning, Embeddings, and ML Explainability

• A Practical Introduction to deep learning

• Intro To machine learning by MIT professors.

• Practical deep learning course. For later on in the challenge, when everyone is comfortable with PyTorch

• mlcourse.ai is an open Machine Learning course by OpenDataScience. The course is designed to perfectly balance theory and practice; therefore, each topic is followed by an assignment with a deadline in a week.

• François Fleuret course on DL with Pytorch at EPFL

• EDX - Deep Learning with Python and PyTorch

• Udemy - Machine Learning MasterClass

Tutorials

Walkthroughs and tutorials that help you learn ML and PyTorch.

• Chintala’s 60 Minute PyTorch Blitz

• Pytorch Official List of Tutorials

• PyTorch tutorial for beginners

• Contains code based tutorial for Pytorch

• An introduction to PyTorch Tensors

• Deep Learning Tutorial - LISA lab, University of Montreal

• Numpy Tutorial - Stanford CS231n

• Kaggle tutorial for deep learning beginners

Jupyter Notebooks

• From basics to building CNN in PyTorch

Books

Books - free and commercial

• Interactive textbook on Neural Network Fundamentals. Beginner resource
• Deep Learning book from Ian Goodfellow and Yoshua Bengio and Aaron Courville

Videos

An assortment of conference and training videos.

• 3blue1brown’s Channel (Intuitive refreshers in neural networks and linear Algebra))

• Siraj’s Channel (Topics and courses in AI, machine learning, decentralized apps, etc.)

• But what is a Neural Network? Deep learning, chapter 1

• How to Learn Deep Learning (when you’re not a computer science Ph.D.)

• ML concepts in plain language.

• Deep Learning with PyTorch

• Deep Learning with PyTorch

• Introduction to PyTorch. Uses regression, classification and image recognition for teaching concepts such CNNs, FCNs, AutoGrad etc

• Intro to Neural Networks

• Deep Neural Networks with PyTorch

Blogs

• Neural Network for beginners blog