andongzhengyang

andongzhengyang's Stars

• a16z-infra/ai-town

  A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.

  Language:TypeScript7.4k679

• vicomello/cs50_finalproject

  Language:CSS8922

• kubowania/burger-api

  My Burger Api

  Language:JavaScript12986

• junyanz/iGAN

  Interactive Image Generation via Generative Adversarial Networks

  Language:Python4k591

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++30.7k3.6k

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python22.8k6.3k

• lengstrom/fast-style-transfer

  TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

  Language:Python10.9k2.6k

• facebookresearch/fastText

  Library for fast text representation and classification.

  Language:HTML25.9k4.7k

• algorithmsbooks/decisionmaking

  Algorithms for Decision Making textbook

  51653

• lin-lab/COVID19-Rt

  Language:R61

• wxwx1993/National_Causal

  Public Available Code to Conduct Analyses in "Evaluating the Impact of Long-term Exposure to Fine Particulate Matter on Mortality Among the Elderly."

  Language:R187

• wxwx1993/PM_COVID

  Public Available Code and Data to Reproduce Analyses in "Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis."

  Language:R10356

• johnafish/shakespeare_ai

  Language:Python466

• wxwx1993/GPSmatching

  R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects using observational data in settings with continuous exposures, and a new framework for GPS caliper matching that jointly matches on both the estimated GPS and exposure levels to fully adjust for confounding bias.

  Language:R2916

• xihaoli/STAAR

  An R package for performing STAAR procedure in whole-genome sequencing studies

  Language:C++9042

• wxwx1993/Bayesian_IA_Timing

  R package for "Optimizing Interim Analysis Timing for Bayesian Adaptive Commensurate Designs." A innovative Bayesian adaptive commensurate designs that borrows adaptively from historical information and also uses a payoff function to optimize the timing of the study’s interim analysis.

  Language:C++51

• andongzhengyang/BST261-Spring2019

  1

• rafalab/rafalib

  Language:R3639

• tedz10/171_project

  171 Project

  Language:JavaScript23