In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

⚕️ An educational tool to visualise k-space and aid the understanding of MRI image generation

Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

An official implementation of "Learning with Privileged Information for Efficient Image Super-Resolution" (ECCV2020) in PyTorch.

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

Compute FID scores with PyTorch.

PRML algorithms implemented in Python

Discover augmentation strategies tailored for your dataset

Convert Python packages into a single script

PyTorch implementation of FastSurferCNN

Research workflows made easy, locally and in the Cloud.

Benchmarking & Scaling Studies of the Pangeo Platform

A benchmark framework for Tensorflow

This is the implementation of Noise2Void training.

System design patterns for machine learning

What scientific programmers must know about CPUs and RAM to write fast code.

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Google Brain AutoML

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

C# library for 2D/3D geometric computation, mesh algorithms, and so on. Boost license.

Video non-local Bayesian denoising

Multi-level Wavelet-CNN for Image Restoration

Implementation of the paper: High-quality Motion Deblurring from a Single Image

A curated list of resources for Image and Video Deblurring

i-RIM applied to the fastMRI challenge data.

Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.

python_wavelet_digital_watermarking

libXCam is a project for extended camera(not limited in camera) features and focus on image quality improvement and video analysis. There are lots features supported in image pre-processing, image …