Pinned Repositories
azureml-cheatsheets
Azure Machine Learning Cheat Sheets
996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
DeepLearning-Tensorflow
STAT 580 Presentation - Deep learning and tensorflow
dmc2016
The 2nd place solution to prudsys 2016 Data Mining Cup
graph-based-recommendation-system
building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each.
rfinterval
An R package "rfinterval": Predictive Inference on Random Forests
RFIntervals
The R code and datasets for the paper "Random Forest Prediction Intervals"
spatialFDA
R code and dataset for the paper on spatially functional data
vimrc
The ultimate Vim configuration: vimrc
WebCrawler_AirPollutionProject
haozhestat's Repositories
haozhestat/rfinterval
An R package "rfinterval": Predictive Inference on Random Forests
haozhestat/RFIntervals
The R code and datasets for the paper "Random Forest Prediction Intervals"
haozhestat/spatialFDA
R code and dataset for the paper on spatially functional data
haozhestat/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
haozhestat/arxiv_nmt_on_aml
A simple yet strong implementation of neural machine translation in pytorch
haozhestat/automlbenchmark
haozhestat/awesome-network-analysis
A curated list of awesome network analysis resources.
haozhestat/azure-docs
Open source documentation of Microsoft Azure
haozhestat/AzureMachineLearningWithDatabricks
This repository highlights the workflow and ease of use of training machine learning or deep learning models using Azure Databricks. Then deploying those models on both the AML Service and Azure Databricks.
haozhestat/chatbot-list
行业内关于智能客服、聊天机器人的应用和架构、算法分享和介绍
haozhestat/Federated-Learning-with-Differential-Privacy
Implementation of dp-based federated learning framework using PyTorch
haozhestat/FSAM
Sparse Estimation for Functional Semiparametric Additive Models
haozhestat/haozhestat.github.io
Academic personal websites, forked from academicpages/academicpages.github.io
haozhestat/hits
:chart_with_upwards_trend: General purpose hits (page views) counter
haozhestat/influence-release
haozhestat/inverse_volatility_caculation
This is to help people get forward signal of their inverse volatility allocation strategy. https://www.portfoliovisualizer.com/ used to provide this for free, but now it requires a subscription.
haozhestat/JointModel
Joint Modelling for Organ Transplantation Outcomes for Patients with Diabetes and the End-Stage Renal Disease
haozhestat/jsm2018
My presentation for JSM 2018
haozhestat/jsonschema
An(other) implementation of JSON Schema for Python
haozhestat/leetcode
Python & JAVA Solutions for Leetcode
haozhestat/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
haozhestat/MLADS
MLADS Notebook & Dataset
haozhestat/PySyft
A library for answering questions using data you cannot see
haozhestat/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
haozhestat/quantregRanger
Quantile Regression for Ranger
haozhestat/ranger
A Fast Implementation of Random Forests
haozhestat/recommenders
Best Practices on Recommendation Systems
haozhestat/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
haozhestat/rfUtilities
R package for random forests model selection, inference, evaluation and validation
haozhestat/surfin
Statistical Inference for Random Forests