liorshk

def log_run(gridsearch: sklearn.GridSearchCV, experiment_name: str, model_name: str, run_index: int, conda_env, tags={}):
    """Logging of cross validation results to mlflow tracking server
    
    Args:
        experiment_name (str): experiment name
        model_name (str): Name of the model
        run_index (int): Index of the run (in Gridsearch)
        conda_env (str): A dictionary that describes the conda environment (MLFlow Format)
        tags (dict): Dictionary of extra data and tags (usually features)

dartov

version: 2
jobs:
  build:
    working_directory: ~/my-multi-module-mvn-prj

    docker:
      - image: circleci/openjdk:8-jdk-stretch

    steps:
      - checkout

shagunsodhani

Pixel Recurrent Neural Network

Introduction

• Problem: Building an expressive, tractable and scalable image model which can be used in downstream tasks like image generation, reconstruction, compression etc.
• Link to the paper

Model

• Scan the image, one row at a time and one pixel at a time (within each row).