Here is a slightly curated list of learning resources and useful links in Computer Vision, Artificial Intelligence and related topics. For resources on robotics, visit the robotics resources post. If you have other great resources to suggest, feel free to contact me.

Deep Learning

• Deep Learning (2016), book, Ian Goodfellow, Yoshua Bengio and Aaron Courville
• Deep Learning (2015), article in Nature, Yann LeCun, Yoshua Bengio & Geoffrey Hinton
• A Recipe for Training Neural Networks, a blog post by Andrej Karpathy

Models

Convolutional Neural Networks

• LeNet

  • Paper
  • Demo

• AlexNet

  • Source Code
  • Paper

• VGG

• GoogLeNet

  • Paper
  • Inspired the Inception architectures:
    • Inception v2
    • Inception v3
    • Inception v4

• ResNet

  • Common versions of the architecture: ResNet-50, ResNet-101
  • Inspired ResNeXt

• ConvNeXt

  • Paper
  • Code

• Convolution Calculator

Transformers

• CS25 - Transformers United, a Standford lecture on Transformers

Diffusion models

• Diffusion is spectral autoregression
• Denoising diffusion probabilistic models from first principles, a tutorial series on diffusion models in Julia

Applications

Computer Vision

• CS231n - Deep Learning for Computer Vision, a Stanford CS class on using deep learning for computer vision tasks.

Geospatial learning

• torchgeo
  • Blog article on torchgeo

Reinforcement Learning

• Reinforcement Learning: An Introduction, by Sutton & Barto

• David Silver Lectures are a good introductory course.

• reinforcement-learning, a GitHub repo by Denny Britz to accompany Sutton's Book and David Silver's course

• OpenAI SpinningUp gives a general overview

• Stable Baselines, a RL library developed by the DLR Institute of Robotics and Mechatronics (DLR-RM)

  • ReadTheDocs

• Deep RL Bootcamp

Applications

Legged Robotics

• RSL RL, a RL library with algorithms, from the Robotic Systems Lab (RSL), Prof. Dr. Marco Hutter, ETH Zurich

Datasets

Toy Datasets

• Iris
• Wisconsin Breast Cancer Dataset
• Wine Dataset
• Ames Housing Dataset
• MNIST
• FashionMNIST
• AutoMPG
• ImageNet
• CIFAR datasets

Object Detection

• MAN TruckScenes, World's First Public Dataset For Autonomous Trucking
  • Challenge on HuggingFace Spaces

Important papers

• Hochreiter et al. (1997): Long Short-Term Memory architecture (LSTM) to address vanishing and exploding gradient problems in vanilla RNNs.
• Bahdanau et al. (2014): RNN with an attention mechanism

Here is a slightly curated list of learning resources and useful links in robotics. For resources on AI, visit the AI resources post. If you have other great resources to suggest, feel free to contact me.

General

Newsletters

• Weekly Robotics

Robot Operating System

Robot Operating System (ROS) is a commonly used open-source robotics middleware. Please note: there is a space in ROS 2: ROS 2.

A new ROS 2 distribution is released every year on May 23rd, the World Turtle Day. Each distro is related to a release of Ubuntu. Here are the names of the last distributions, with their corresponding Ubuntu versions:

Official resources:

• Website
• Documentation
  • The tutorials are great for anyone considering to begin with ROS 2

Robots

Legged Robots

• RSL RL, a library with RL algorithms for legged robotics, from the Robotic Systems Lab (RSL), Prof. Dr. Marco Hutter, ETH Zurich

Robot Learning

• LeRobot, a low-cost robotics project by HuggingFace, for accessible end-to-end robot learning
• Robot Learning Course, course material for Marc Toussaint's and Wolfgang Hönig's Robot Learning course in TU Berlin.

Simulation

• Genesis, a generative simulation tool for robotics

Datasets

Autonomous Driving

• MAN TruckScenes, World's First Public Dataset For Autonomous Trucking
  • Challenge on HuggingFace Spaces