Resources

Computational Neuroscience

• Pursuing Computational Neuroscience: Adrienne Fairhall
• CompNeuroWeb
• Path to PhD in Neuroscience

Computer Vision

• First Principles of Computer Vision
• Multiple View Geometry
• Variational methods in Computer Vision
• Computational Vision Summer School

Machine Learning

• Machine Learning Summer School
• Brains, Minds and Machine, Virtual Summer School
• Statistical Learning Theory and Applications
• Theoretical Machine Learning Lecture Series
• Interpretability vs. Explainability in Machine Learning
• Full stack Deep Learning

Dynamical Systems

• Introduction to Bifurcation Theory
• Dynamical Systems with Machine Learning

Psychophysics

• Psychopy

Skills

• Tima Management: Calendar.Not to-do lists.
• Collaborative paper writing
• Writing Rebuttals
• Publication quality figures

Tools

• MLOps
  • Clear ML
• Academic Website
  • Using Academic Pages, Jekyll based
  • Using Pelican, python based
  • From Jupyter Notebook to Microservice
• VSCode
  • VS Code Setup for Jekyll website development
  • VS Code Develoment Containers
• Activity Monitoring
  • Activity Watch

Industry Interview Preparation

• Preparing for programming interview with python

Advice

• Learning to Learn: Richard Hamming

Datasets

1. Video Datasets

Simulators and Environments

1. AI2Thor

Tutorials

1. 2D Gaussian Process Regression in Scikit-Learn