prior-knowledge

There are 0 repository under prior-knowledge topic.

cvjena / semantic-embeddings
Hierarchy-based Image Embeddings for Semantic Image Retrieval
computer-vision deep-learning image-retrieval keras machine-learning prior-knowledge representation-learning wacv19 wacv2019 wacv2020
Language:Python 264
SamsungLabs / deep-weight-prior
The Deep Weight Prior, ICLR 2019
iclr bayesian-deep-learning prior-knowledge
Language:Jupyter Notebook 44
zhuango / KAN
An implementation of Knowledge-aware attention networks (KAN) for protein-protein extraction task
attention protein-protein-interaction prior-knowledge
Language:Python 19
tsun / KUDA
Prior Knowledge Guided Unsupervised Domain Adaptation (ECCV 2022)
domain-adaptation prior-knowledge
Language:Python 16
UzmaHasan / KCRL
Causal Discovery with Prior Knowledge
causal-discovery prior-knowledge causal-inference causal-machine-learning causal-modelling causality causality-analysis reinforcement-learning-agent
Language:Python 10
Jarvis73 / PEMP
The implementation of PEMP in paper "Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes"
few-shot-learning meta-prototypes prior-knowledge semantic-segmentation
Language:Python 7
zhuango / MNM
An implementation of Memory Networks Model (MNM) for protein-protein extraction task
protein-protein-interaction prior-knowledge memory-networks
Language:Python 3
alperozoner / AIN311-Project-EyeTracking
This is repository is for AIN311 Course Project "Eye Tracking and Prior Knowledge"
classification experimental-data eye-tracking prior-knowledge research-project
Language:Jupyter Notebook 2
kb-open / CROMP
The official implementation of CROMP (Constrained Regression with Ordered and Margin-sensitive Parameters) along with experimental test pipeline
constrained-regression interpretable-ai multiple-linear-regression operationalizing-machine-learning prior-knowledge wage-model cromp
Language:Python 1
DILiS-lab / SimbaML
SimbaML is an all-in-one framework for integrating prior knowledge of ODE models into the ML process by synthetic data augmentation. It allows for the convenient generation of realistic synthetic data by sparsifying and adding noise. Furthermore, our framework provides customizable pipelines for various ML experiments, such as transfer learning.
open-source prior-knowledge synthetic-data transfer-learning informed-machine-learning data-augmentation ordinary-differential-equations time-series-forecasting
Language:Python 0

prior-knowledge

cvjena / semantic-embeddings

SamsungLabs / deep-weight-prior

zhuango / KAN

tsun / KUDA

UzmaHasan / KCRL

Jarvis73 / PEMP

zhuango / MNM

alperozoner / AIN311-Project-EyeTracking

kb-open / CROMP

DILiS-lab / SimbaML