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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.
Hierarchical X-Ray Report Generation via Pathology tags and Multi Head Attention
Tensorflow based VAE for image encoding and reconstruction
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
[ICLR 2021 Spotlight] A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Light-field imaging application for plenoptic cameras
Bjontegaard metric calculation. Include BD-PSNR and BD-rate
VVenC, the Fraunhofer Versatile Video Encoder
Computer vision assisted tool to extract numerical data from plot images.
Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues
subpixel: A subpixel convnet for super resolution with Tensorflow
Visualizing intermediate activation in Convolutional Neural Networks with Keras
Exercises for the Deep Learning textbook at www.deeplearningbook.org
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
karpathy / examples
Forked from pytorch/examplesA set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Repository of the paper "Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules"
Blender Addon to render light fields with depth and disparity maps
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Implémentation of the article **Deep Learning CUDA Memory Usage and Pytorch optimization tricks**
Implementation of Siamese Neural Networks for One-shot Image Recognition