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3d-aae

Adversarial Autoencoders for Compact Representations of 3D Point Clouds

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

bdl-plinml18

Bayesian Deep Learning: How to be certain about uncertainty - materials

book-cfd

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

cr-python-config-lib

cs231n.github.io

Public facing notes page

distributions

NodeSource Node.js Binary Distributions

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

graph-colorizer

Simple python script to solve Graph Coloring Problem using genetic algorithm

guided-diffusion

medical-transformer

Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

pytorch_structural_losses

pytorchemd

PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression

tensorflow-cookbook

Simple Tensorflow Cookbook for easy-to-use

tensorflow2-cookbook

Simple Tensorflow 2.x Cookbook for easy-to-use