Resources, references and datasets

Non-exhaustive collection of resources that I find helpful, datasets that I’m using/have used as part of my work. Kept here for my own references and posterity. None are listed in any paticular order.

Datasets

Images

• MNIST Handwritten Numbers
• CelebA Large celebrities faces dataset with attributes
  • 10,117 identities
  • 202,599 face images
• MS-Celeb-1M
  • ~10M images
  • 100k celebrities
• SVHN Street View House Numbers
• ImageNet THE image dataset

Audio

• VCTK Corpus - English multi-speaker corpus
• AudioSet - Sound Vocabulary dataset with video
• Beethoven Sonata Dataset
  • In Wayback Machine (archive.org)
  • Download script based off SampleRNN, Mehri et al 2016

Autonomous Vehicles

• KITTI Dataset
  • Multiple Cameras
  • LiDAR
  • GPS/IMU
  • Object Labels and bounding boxes
• Citiscapes Dataset
  • Multiple Cameras
  • Pixel level annotation
  • Various weather conditions

References

Online Resources

• Useful Formulae List - Maintained by Huihan chin and me
• NIPS 2016 Tutorial: Generative Adversarial Networks - Ian Goodfellow
• Momentum in gradient descent - Nice illustration and post by Gabriel Goh
• Tensorflow playground

Books

• Numerical Optimization Jorge Nocedal, Stephen J. Wright (Springer)
• Probabilistic Graphical Models: Principles and Techniques - Daphne Koller, Nir Friedman
• Pattern Recognition and Machine Learning - Christopher M. Bishop
• Deep Learning - Ian Goodfellow, Yoshua Bengio, Aaron Courville (online version)