There are a lot of Topic Models. 18/02/23 # of TM is 24
- ATM(author topic model)
There are a lot of Topic Models. 18/02/23 # of TM is 24
| # -*- coding: utf-8 -*- | |
| # | |
| # Author: Taylor G Smith | |
| # | |
| # Recommender system ranking metrics derived from Spark source for use with | |
| # Python-based recommender libraries (i.e., implicit, | |
| # http://github.com/benfred/implicit/). These metrics are derived from the | |
| # original Spark Scala source code for recommender metrics. | |
| # https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala |
| #!/bin/bash | |
| # | |
| # script to fully prepare ImageNet dataset | |
| ## 1. Download the data | |
| # get ILSVRC2012_img_val.tar (about 6.3 GB). MD5: 29b22e2961454d5413ddabcf34fc5622 | |
| # wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_val.tar | |
| # get ILSVRC2012_img_train.tar (about 138 GB). MD5: 1d675b47d978889d74fa0da5fadfb00e | |
| # wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_train.tar |
https://wandb.ai/rom1504/dalle2_train_decoder/runs/mic5buox/files/decoder_config.json
get dalle2
get the config file
get these 2 .sh
run sbatch start_big.sh