hedongyan

hedongyan's Stars

• Shubh4545/Customer-conversion-prediction

  Customer Conversion Prediction project is to build a machine learning model that can predict whether a client will subscribe to the insurance based on their demographic and marketing data.

  Language:Jupyter Notebook4

• aliyun/SimAI

  Language:C++24430

• PriorLabs/TabPFN

  ⚡ TabPFN: Foundation Model for Tabular Data ⚡

  Language:Python1.5k125

• baichuan-inc/Baichuan-13B

  A 13B large language model developed by Baichuan Intelligent Technology

  Language:Python3k235

• LARS-research/TabGNN

  Language:Python486

• hedongyan/AwesomeRCTDataset

  6

• yandex-research/rtdl-num-embeddings

  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning

  Language:Python32633

• jundongl/scikit-feature

  open-source feature selection repository in python

  Language:Python1.5k445

• KDL-umass/papers

  Language:R81

• 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"

  Language:Python39899

• LINC-BIT/legodnn

  LegoDNN: a block-grained scaling tool for mobile vision systems

  Language:Python5124

• L-F-Z/CEE

  Causal Effect Engine is a Golang package for causal inference

  Language:Go182

• trappmartin/SumProductNetworks.jl

  Sum-product networks in Julia.

  Language:Julia374

• zecevic-matej/iSPN

  Code repository to the corresponding NeurIPS 2021 Publication.

  Language:Python73

• zecevic-matej/Not-All-Causal-Inference-is-the-Same

  Official code repository to the corresponding paper.

  Language:Python287

• 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

  Language:Jupyter Notebook8.5k1.7k

• iancovert/Neural-GC

  Granger causality discovery for neural networks.

  Language:Python20352

• huawei-noah/trustworthyAI

  Trustworthy AI related projects

  Language:Python990219

• laurencium/Causalinference

  Causal Inference in Python

  Language:Python55391

• tcassou/causal_impact

  Python package for causal inference using Bayesian structural time-series models.

  Language:Python23733

• FenTechSolutions/CausalDiscoveryToolbox

  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

  Language:Python1.1k200

• 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.

  Language:Python7.2k938

• mckinsey/causalnex

  A Python library that helps data scientists to infer causation rather than observing correlation.

  Language:Python2.3k260

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5.2k787

• 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

  Language:Java428197

• Cloudslab/cloudsim

  CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services

  Language:Java854517

• FC-Li/CloudSimPy

  CloudSimPy: Datacenter job scheduling simulation framework

  Language:Python23477

• pedropaulovc/CloudSim_DVFS

  Experiments with the DVFS implementation of CloudSim

  Language:Java1913

• michaelfahmy/cloudsim-task-scheduling

  Language:Java7665

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  3.1k465