xizepu's Stars
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
pentaho/mondrian
Mondrian is an Online Analytical Processing (OLAP) server that enables business users to analyze large quantities of data in real-time.
awslabs/fortuna
A Library for Uncertainty Quantification.
ethanfetaya/NRI
Neural relational inference for interacting systems - pytorch
henrikbostrom/crepes
Python package for conformal prediction
donlnz/nonconformist
Python implementation of the conformal prediction framework.
ryantibs/conformal
Tools for conformal inference in regression
ealcobaca/pymfe
Python Meta-Feature Extractor package.
aangelopoulos/rcps
Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"
Moffran/calibrated_explanations
Repository for the explanation method Calibrated Explanations (CE)
nel215/mondrianforest
An online random forest implementaion written in Python.
johnwlambert/dlupi-heteroscedastic-dropout
Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
msesia/conditional-conformal-pvalues
Conditional calibration of conformal p-values for outlier detection.
lwcook/hypersonic-simulation
Python code for hypersonic vehicle simulation
haozhestat/RFIntervals
The R code and datasets for the paper "Random Forest Prediction Intervals"
FredrikSvenssonUK/tox21_conformal
matejbalog/mondrian-kernel
The Mondrian kernel is a random feature approximation to the Laplace kernel allowing fast kernel width selection.
DEck13/conformal.glm
conformal prediction for generalized linear regression models
bjd39/lupi-ndp
Learning using privileged information with neural ODE processes
cypw/svm-plus
This project comes from: http://www.cs.technion.ac.il/~pechyony/
PaschalisAthan/Master_Thesis
Predictive target profile using Cross Venn-ABER predictors
engrodawood/LUPI-for-Classification-and-Regression-Pytorch
The repository contain Code of all the Experiments Conducted in the Paper "A generalized meta-loss function for distillation and learning using privileged information for classification and regression" by Amina Asif, Muhammad Dawood and Fayyaz ul Amir Afsar Minhas
FredrikSvenssonUK/SCP
Synergy Conformal Prediction applied to Large-Scale Bioactivity Datasets and in Federated Learning
ptocca/KRRPM
Kernel Ridge Regression Predictive Machine
sungkyujung/ClusTorus
Clustering on the torus by conformal prediction
okbalefthanded/conj-svm-plus-mex
A mex interface for SMO style SVM+ solvers
sl-bergquist/cancer_classification
Code accompanying "Uncertainty in Lung Cancer Stage for Outcome Estimation via Set-Valued Classification"
Shubhranshu-Shekhar/pyaad
Implementation of Active Anomaly Discovery (AAD) in Python