hanshengjiang

hanshengjiang's Stars

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.8k1.1k9.6k6.8k

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python7.9k917451.1k

• py-why/EconML

  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.8k76571714

• pdfpc/pdfpc

  A presenter console with multi-monitor support for PDF files.

  Language:Vala1.6k33410116

• Gurobi/modeling-examples

  Gurobi modeling examples

  Language:Jupyter Notebook6342915278

• OpenDataDE/State-zip-code-GeoJSON

  Zip code boundaries for each of the 50 states

  313107136

• nickpoison/tsa4

  R code for Time Series Analysis and Its Applications, Ed 4

  1579265

• berkeleydeeprlcourse/homework_fall2021

  Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

  Language:Jupyter Notebook146201146

• apoorvalal/ding_causalInference_python

  python implementation of Peng Ding's "First Course in Causal Inference"

  Language:Jupyter Notebook1442030

• amzn/supply-chain-simulation-environment

  Language:Python505072

• probcomp/trcrpm

  Temporally-reweighted Chinese restaurant process mixture models for multivariate time series

  Language:Jupyter Notebook378517

• qingyuanzhao/bets.covid19

  Data and analysis for the early COVID-19 outbreak

  Language:Python2710910

• zhybit/Urban_EV_Assessment

  Language:Jupyter Notebook135

• jpdunc23/stat-215a-fall-2020

  GSI course materials for STAT215A Fall 2020

  Language:HTML12403

• aicherc/sgmcmc_ssm_code

  Python code for SGMCMC for Time Series SSMs

  Language:Python11214

• zikunye2/deep_learning_based_causal_inference_for_combinatorial_experiments

  codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments

  Language:Jupyter Notebook103

• hanshengjiang/Reference_Effects

  Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.md for more details.

  Language:Python9100

• Timbasa/Dynamic_Local_Regret_for_Non-convex_Online_Forecasting_NeurIPS2019

  Language:HTML9402

• armmn/Smoothness-Adaptive-Contextual-Bandits

  This repository contains the codes for the simulation in the paper "Smoothnees-Adaptive Contextual Bandits"

  Language:Python320

• hanshengjiang/npmle_git

  A Python package for computing NPMLE of mixture of regression

  Language:Python3100

• ShunanJiang/MAB-learning

  A mab learning group

  3400

• hanshengjiang/hanshengjiang.github.io

  Language:HTML1100