Stabilized Hierarchical DNN with multiple knockoffs

Feature selection in neural networks

🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cycle…

Datasets, Transforms and Models specific to Computer Vision

PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Code for reproducing Manifold Mixup results (ICML 2019)

Implementation of IODINE model

A Port of Fréchet Inception Distance (FID score) to PyTorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Awesome GAN for Medical Imaging

Awesome PyTorch

Gaussian Process Prior Variational Autoencoder

A pytorch framework for building neurals networks for visual recognition, encoding, and detection tasks. The goal is to bridge the gap between research and production code, making AI/CV research co…

Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge