Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

NYU Deep Learning Spring 2020

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)

List of AI Residency Programs

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

An introduction to FFmpeg and its tools

Visualizing intermediate activation in Convolutional Neural Networks with Keras

Exercises for the Deep Learning textbook at www.deeplearningbook.org

Data compression in TensorFlow

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

A 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