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fastapproximateinference.jl

Code to reproduce results in "Preconditioned training of normalizing flows for variational inference in inverse problems"

fastmri

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

fastmri-reproducible-benchmark

Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

fcdd

Repository for the Explainable Deep One-Class Classification paper

federated

A collection of Google research projects related to Federated Learning and Federated Analytics.

fednlp

FedNLP: A Research Platform for Federated Learning in Natural Language Processing. Accepted to NAACL 2022

few-shot-domain-adaptation-by-causal-mechanism-transfer

Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)

fit2form

[CoRL 2020] Fit2Form: 3D Generative Model for Robot Gripper Form Design

fixnoise

Official Pytorch Implementation for "Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN" (CVPRW 2022 Best paper)

flare

An open-source Python package for creating fast and accurate interatomic potentials.

flightmare

An Open Flexible Quadrotor Simulator

florl

Implicit Normalizing Flows + Reinforcement Learning

flowgmm

flowification

flows_ood

flowtorch

This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.

flowtron

Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer

fortuna

A Library for Uncertainty Quantification.

freia

Framework for Easily Invertible Architectures

g-schnet

G-SchNet - a generative model for 3d molecular structures

gaal-based-outlier-detection

GAAL-based Outlier Detection

gae-pytorch

Graph Auto-Encoder in PyTorch

gan

gan-1

Tooling for GANs in TensorFlow

ganf

Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)

garage

A toolkit for reproducible reinforcement learning research.

gbdt-uncertainty

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gdss

Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)

gen

A general-purpose probabilistic programming system with programmable inference