dlwbm123 Goto Github PK

fact

falsr

Fast, Accurate and Lightweight Super-Resolution models

fastai

The fast.ai deep learning library, lessons, and tutorials

fastfcn

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images

fedbn

[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

federated_pca

Federated Principal Component Analysis Revisited!

fedgraphnn

A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops. The ArXiv version will be available soon.

fedma

Code for Federated Learning with Matched Averaging, ICLR 2020.

fedweit

This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer

few-shot

Repository for few-shot learning machine learning projects

fish

Official implementation of paper Gradient Matching for Domain Generalization

fishnet

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

fixbi

FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation

flavr

Code for FLAVR: A fast and efficient frame interpolation technique.

fmriprep

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

focal-frequency-loss

Focal Frequency Loss for Generative Models

focal-liver-lesions-dataset-in-ceus

We publish our SYSU-CEUS dataset, which consists of three types of FLLs: 186 HCC instances, 109 HEM instances and 58 FNH instances (i.e.,186 malignant instances and 167 benign instances). In this repository, we only upload a small set of data to illustrate. Please contact [email protected], if you need the full dataset for academic purposes.

frcl

Functional Regularisation for Continual Learning with Gaussian Processes

free-algorithm-books

function-space-inference-with-sparse-implicit-processes

Development of IP code based on VIPs and AADM

fvi_cv

Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020

g-meta

Graph meta learning via local subgraphs (NeurIPS 2020)

gacnet

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

ganhacks

starter from "How to Train a GAN?" at NIPS2016

ganseeing

Seeing what a GAN cannot generate

ganslate

Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.

gated-propagation-net

Learning to Propagate for Graph Meta-Learning, NeurIPS 2019

gcgan

gcl

List of Publications in Graph Contrastive Learning