[{"title":"( 37 个子文件 23.58MB ) pytorch-colorful-colorization-report:Zhang等人从零开始的PyTorch实现“彩色图像着色”。 - 实验报告-源码","children":[{"title":"pytorch-colorful-colorization-report-master","children":[{"title":"tex","children":[{"title":"slides.tex <span style='color:#111;'> 13.41KB </span>","children":null,"spread":false},{"title":"report.tex <span style='color:#111;'> 24.57KB </span>","children":null,"spread":false}],"spread":true},{"title":"slides.bib <span style='color:#111;'> 2.13KB </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 683B </span>","children":null,"spread":false},{"title":"report.bib <span style='color:#111;'> 5.92KB </span>","children":null,"spread":false},{"title":"report.pdf <span style='color:#111;'> 3.70MB </span>","children":null,"spread":false},{"title":"slides.pdf <span style='color:#111;'> 9.10MB </span>","children":null,"spread":false},{"title":"resources","children":[{"title":"good_vs_bad.pdf <span style='color:#111;'> 1.10MB </span>","children":null,"spread":false},{"title":"colored.jpg <span style='color:#111;'> 11.93KB </span>","children":null,"spread":false},{"title":"gamut.jpg <span style='color:#111;'> 395.67KB </span>","children":null,"spread":false},{"title":"learning_curve.pdf <span style='color:#111;'> 168.33KB </span>","children":null,"spread":false},{"title":"veg2.jpg <span style='color:#111;'> 30.17KB </span>","children":null,"spread":false},{"title":"amt_results_slides.pdf <span style='color:#111;'> 1.29MB </span>","children":null,"spread":false},{"title":"vgg_classification_performance.pdf <span style='color:#111;'> 99.85KB </span>","children":null,"spread":false},{"title":"levin.jpg <span style='color:#111;'> 71.25KB </span>","children":null,"spread":false},{"title":"pumpkin.jpg <span style='color:#111;'> 101.90KB </span>","children":null,"spread":false},{"title":"network4.jpg <span style='color:#111;'> 70.94KB </span>","children":null,"spread":false},{"title":"veg4.jpg <span style='color:#111;'> 25.74KB </span>","children":null,"spread":false},{"title":"pumpkin_bw.jpg <span style='color:#111;'> 228.28KB </span>","children":null,"spread":false},{"title":"veg3.jpg <span style='color:#111;'> 20.04KB </span>","children":null,"spread":false},{"title":"pumpkin_a.jpg <span style='color:#111;'> 190.05KB </span>","children":null,"spread":false},{"title":"training.pdf <span style='color:#111;'> 28.71KB </span>","children":null,"spread":false},{"title":"amt_results.pdf <span style='color:#111;'> 714.37KB </span>","children":null,"spread":false},{"title":"network3.jpg <span style='color:#111;'> 69.80KB </span>","children":null,"spread":false},{"title":"common_confusions.pdf <span style='color:#111;'> 1.17MB </span>","children":null,"spread":false},{"title":"annealed_mean.pdf <span style='color:#111;'> 675.72KB </span>","children":null,"spread":false},{"title":"network2.jpg <span style='color:#111;'> 77.81KB </span>","children":null,"spread":false},{"title":"confusion_rates.pdf <span style='color:#111;'> 101.64KB </span>","children":null,"spread":false},{"title":"welsh.jpg <span style='color:#111;'> 109.65KB </span>","children":null,"spread":false},{"title":"veg1.jpg <span style='color:#111;'> 23.20KB </span>","children":null,"spread":false},{"title":"pumpkin_b.jpg <span style='color:#111;'> 140.08KB </span>","children":null,"spread":false},{"title":"gt.jpg <span style='color:#111;'> 12.02KB </span>","children":null,"spread":false},{"title":"good_vs_bad_slides.pdf <span style='color:#111;'> 4.12MB </span>","children":null,"spread":false},{"title":"bw.jpg <span style='color:#111;'> 10.67KB </span>","children":null,"spread":false},{"title":"network1.jpg <span style='color:#111;'> 74.20KB </span>","children":null,"spread":false}],"spread":false},{"title":".gitignore <span style='color:#111;'> 37B </span>","children":null,"spread":false},{"title":"out","children":[{"title":".gitkeep <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]