Haozhe Zhang's repositories
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
996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
arxiv_nmt_on_aml
A simple yet strong implementation of neural machine translation in pytorch
awesome-network-analysis
A curated list of awesome network analysis resources.
azure-docs
Open source documentation of Microsoft Azure
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.
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
Federated-Learning-with-Differential-Privacy
Implementation of dp-based federated learning framework using PyTorch
haozhestat.github.io
Academic personal websites, forked from academicpages/academicpages.github.io
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.
JointModel
Joint Modelling for Organ Transplantation Outcomes for Patients with Diabetes and the End-Stage Renal Disease
jsonschema
An(other) implementation of JSON Schema for Python
leetcode
Python & JAVA Solutions for Leetcode
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
PySyft
A library for answering questions using data you cannot see
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
quantregRanger
Quantile Regression for Ranger
recommenders
Best Practices on Recommendation Systems
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
rfUtilities
R package for random forests model selection, inference, evaluation and validation