- micrograd: A tiny autograd engine with backpropogation and PyTorch-like neural network library.
- LeNet: GradientBased Learning Applied to Document Recognition (1998)
- VGG: Very Deep Concolutional Networks For Large-Scale Image Recognition (2014)
- GoogLeNet: Going deeper with convolutions (2014)
- ResNet: Deep Residual Learning for Image Recognition (2015)
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019)
- GAN: Generative Adversarial Networks (2014)
- DCGAN: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (2015)
- WGAN: Wasserstein GAN (2017)
- WGAN-GP: Improved Training of Wasserstein GANs (2017)
- CycleGAN: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (2017)
- Transformer: Attention Is All You Need (2017)
- SETR: Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers (2020)
- DDPM: Denoising Diffusion Probabilistic Models (2020)
- UNet: Convolutional Networks for Biomedical Image Segmentation (2015)
- Neural Style Transfer: A Neural Algorithm of Artistic Style (2015)
- Image Captioning: Show, Attend and Tell: Neural Image Caption Generation with Visual Attention (2015)