herdonyan's Stars
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
baichuan-inc/Baichuan-13B
A 13B large language model developed by Baichuan Intelligent Technology
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
jundongl/scikit-feature
open-source feature selection repository in python
automl/TabPFN
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
huawei-noah/trustworthyAI
Trustworthy AI related projects
Cloudslab/cloudsim
CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services
laurencium/Causalinference
Causal Inference in Python
cloudsimplus/cloudsimplus
State-of-the-art Framework 🏗 for Cloud Computing ⛅️ Simulation: a modern, full-featured, easier-to-use, highly extensible 🧩, faster 🚀 and more accurate ☕️ Java 17+ tool for cloud computing research 🎓. Examples: https://github.com/cloudsimplus/cloudsimplus-examples
allenai/PeerRead
Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"
MatthieuCourbariaux/BinaryConnect
Training Deep Neural Networks with binary weights during propagations
yandex-research/rtdl-num-embeddings
(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
tcassou/causal_impact
Python package for causal inference using Bayesian structural time-series models.
iancovert/Neural-GC
Granger causality discovery for neural networks.
FengcunLi/CloudSimPy
CloudSimPy: Datacenter job scheduling simulation framework
michaelfahmy/cloudsim-task-scheduling
Gavrila9/Ant4Cloud
蚁群算法相关,cloudsim和workflowsim的源码
LINC-BIT/legodnn
LegoDNN: a block-grained scaling tool for mobile vision systems
LARS-research/TabGNN
trappmartin/SumProductNetworks.jl
Sum-product networks in Julia.
zecevic-matej/Not-All-Causal-Inference-is-the-Same
Official code repository to the corresponding paper.
pedropaulovc/CloudSim_DVFS
Experiments with the DVFS implementation of CloudSim
L-F-Z/CEE
Causal Effect Engine is a Golang package for causal inference
KDL-umass/papers
zecevic-matej/iSPN
Code repository to the corresponding NeurIPS 2021 Publication.
herdonyan/RandomizedTrialDataset