1. Accelerating genetic algorithms with GPU computing: A selective overview
2. Library for evolutionary algorithms in Python (LEAP)
3. The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]
4. Paszke et al. 2019 . PyTorch: An Imperative Style , High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems , Vol. 32 . Curran Associates, Inc. https://proceedings.neurips.cc/paper/ 2019/hash/bdbca288fee7f92f2bfa9f7012727740-Abstract.html Paszke et al. 2019. PyTorch: An Imperative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems, Vol. 32. Curran Associates, Inc. https://proceedings.neurips.cc/paper/2019/hash/bdbca288fee7f92f2bfa9f7012727740-Abstract.html