micronet | model compression and deploy lib | Compression library

python -u run_quantization.py --batch-size 128 --val-batch-size 256 --ini-c-divrs 0.2 --lambda-max-divrs 0.125 
--model efficientnet-b1 --model-dict efficientnet_b1.pt --dataset ImageNet --image-size 224 
--data-path [your_path] --epochs 20 --retrain  

@InProceedings{Marban_2020_EC2T,
author = {Marban, Arturo and Becking, Daniel and Wiedemann, Simon and Samek, Wojciech},
title = {Learning Sparse & Ternary Neural Networks With Entropy-Constrained Trained Ternarization (EC2T)},
booktitle = {Proce  

python -u run_compound_scaling.py --epochs 250 --batch-size 128 --grid 1.4 1.2 --phi 3.5 --dataset CIFAR100 
--image-size 32 

python -u run_quantization.py --model-dict MicroNet_d14_w12_phi35_acc8146_params8_06m.th --batch-size 128 --epochs 20 
--re  

version: '2'
services:
  mongo-server:
    image: mongo
    volumes:
    - .data/mdata:/data/db # mongodb persistence

  myStuff:
    build: ./myStuff
    depends_on:
    - mongo-server

private val mongoClient: Mon