Modern PyTorch Techniques for VAEs: A Hands-On Tutorial
A comprehensive guide to implementing Variational Autoencoders (VAEs) in PyTorch. Covers the ELBO objective, …
Optimization
Certified Robustness: Projecting Neural Networks onto Stability Constraints
A PyTorch re-implementation of IQCRNN, enforcing strict stability guarantees on Recurrent Neural Networks via Integral …...
EigenNoise: Data-Free Word Vector Initialization
Investigation into EigenNoise, a data-free initialization scheme for word vectors that approaches pre-trained model …...
A Framework for Multi-Arm Bandit Problems
Framework for understanding multi-arm bandit algorithms through five dimensions. Covers exploration vs exploitation and …
HyperNEAT: Scaling Neuroevolution with Geometric Patterns
How HyperNEAT uses indirect encoding and geometric patterns to evolve large-scale neural networks with biological …
NEAT: Evolving Neural Network Topologies
Learn about NEAT's approach to evolving neural networks: automatic topology design, historical markings, and speciation …
Cartesian Genetic Programming in Julia
An implementation of Cartesian Genetic Programming (CGP) featuring NEAT-like speciation mechanics and novel crossover …...
GAN Objective Functions: A Comprehensive Guide
Complete guide to GAN objective functions including WGAN, LSGAN, Fisher GAN, and more. Understand which loss function to …
Understanding Generative Adversarial Networks (GANs)
Learn about GANs with intuitive explanations and mathematical foundations. Learn how adversarial networks generate …
FFTW Compiler in Haskell
Reverse-engineering the genfft logic to generate optimized C kernels for Fast Fourier Transforms using Haskell …...
Term Schedule Optimizer
A constraint satisfaction solver built to generate conflict-free university schedules from web-scraped course data....