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[ ] Pytorch - Advanced Deep Learning (Computer Vision, DataAug)

  • 收录时间:2022-03-23 05:13:34
  • 文件大小:1GB
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  • 最近下载:2022-03-23 05:13:34
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文件列表

  1. ~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/001 Data Science in Numpy - Part1 (Code).mp4 118MB
  2. ~Get Your Files Here !/13 SupCon & SimCLR (Code)/002 Mocking SimCLR(Code).mp4 58MB
  3. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/005 CutMix (Code).mp4 55MB
  4. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/001 Image Search(Basic & Cluster).mp4 54MB
  5. ~Get Your Files Here !/11 PEARL and NPILD (code)/001 NCE & Memory Bank (Code).mp4 53MB
  6. ~Get Your Files Here !/03 Pytorch AutoGrad/001 Pytorch AutoGrad.mp4 45MB
  7. ~Get Your Files Here !/13 SupCon & SimCLR (Code)/003 SimClr and Supervised Contrastive Learning (Code).mp4 45MB
  8. ~Get Your Files Here !/11 PEARL and NPILD (code)/002 Network and Training NPILD & Pearl (Code).mp4 40MB
  9. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/001 Non-Parametric Instance-level Discrimination & Metric learning approach.mp4 39MB
  10. ~Get Your Files Here !/01 Introduction/001 Why Should You Take This Course_.mp4 35MB
  11. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/004 Basic Image Search With pertained Resnet (cifar-10 dataset) (Code).mp4 33MB
  12. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/003 Basic Image Search (Code).mp4 32MB
  13. ~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/003 Data Science in Pytorch - Part 2(Code).mp4 32MB
  14. ~Get Your Files Here !/13 SupCon & SimCLR (Code)/001 Supervised Contrastive Learning.mp4 31MB
  15. ~Get Your Files Here !/01 Introduction/003 Applications.mp4 30MB
  16. ~Get Your Files Here !/03 Pytorch AutoGrad/002 Custom CNN in Pytorch.mp4 30MB
  17. ~Get Your Files Here !/10 PEARL/004 PEARL Results.mp4 30MB
  18. ~Get Your Files Here !/15 Bonus Lectures/001 Vissl & Albumentations.mp4 30MB
  19. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/006 RandAugment.mp4 29MB
  20. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/008 Non Parametric Softmax (CrossEntropy) (Code).mp4 29MB
  21. ~Get Your Files Here !/12 SimCLR/001 SIMCLR Overview.mp4 27MB
  22. ~Get Your Files Here !/10 PEARL/001 Self-Supervised Learning of Pretext-Invariant Representations (PEARL) - Part 1.mp4 27MB
  23. ~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/002 Data Science in Pytorch - Part1 (Code).mp4 26MB
  24. ~Get Your Files Here !/06 Softmax think out of the box (Hands On)/002 Temperature Scaling & soft softmax (code).mp4 26MB
  25. ~Get Your Files Here !/08 JigSaw/002 Network and Training process.mp4 23MB
  26. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/002 CutMix Paper Overview.mp4 23MB
  27. ~Get Your Files Here !/06 Softmax think out of the box (Hands On)/001 SoftMax Think out of the box.mp4 22MB
  28. ~Get Your Files Here !/07 Prelearing & UVR by Context Prediction (Theory)/003 Results of UVR by Context Prediction.mp4 22MB
  29. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/007 RandAugment (Code).mp4 22MB
  30. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/001 Why Data Augmentation & History.mp4 22MB
  31. ~Get Your Files Here !/10 PEARL/003 PEARL Loss.mp4 20MB
  32. ~Get Your Files Here !/01 Introduction/004 Course Structure & Important Notes.mp4 20MB
  33. ~Get Your Files Here !/01 Introduction/002 Google Colab Setup.mp4 19MB
  34. ~Get Your Files Here !/12 SimCLR/002 SIMCLR & Multiview Batch.mp4 18MB
  35. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/005 Cluster Search (Code).mp4 18MB
  36. ~Get Your Files Here !/12 SimCLR/003 SimCLR Algorithm and Loss.mp4 16MB
  37. ~Get Your Files Here !/08 JigSaw/003 Results of JigSaw.mp4 16MB
  38. ~Get Your Files Here !/08 JigSaw/001 Overview of Jigsaw.mp4 15MB
  39. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/003 Results of CutMix.mp4 15MB
  40. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/004 Noise contrastive estimation (NCE) - Part 1.mp4 15MB
  41. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/007 NPILD Result.mp4 14MB
  42. ~Get Your Files Here !/15 Bonus Lectures/002 Tips From My Expeience.mp4 14MB
  43. ~Get Your Files Here !/15 Bonus Lectures/003 Congratulation & Few More ideas.mp4 14MB
  44. ~Get Your Files Here !/07 Prelearing & UVR by Context Prediction (Theory)/002 Overview of Unsupervised Visual Representation Learning by Context Prediction.mp4 13MB
  45. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/004 CutMix Algorithm.mp4 12MB
  46. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/002 NPILD Training Process.mp4 11MB
  47. ~Get Your Files Here !/10 PEARL/002 PEARL Overview Part 2.mp4 11MB
  48. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/006 NPILD Put it all together.mp4 11MB
  49. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/003 Non Parametric Softmax.mp4 9MB
  50. ~Get Your Files Here !/07 Prelearing & UVR by Context Prediction (Theory)/001 Pretext Task.mp4 7MB
  51. ~Get Your Files Here !/12 SimCLR/005 Softmax is invariant under translation (Important).mp4 6MB
  52. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/005 FULL NCE Loss.mp4 5MB
  53. ~Get Your Files Here !/12 SimCLR/004 Training Details.mp4 4MB
  54. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/002 Faiss Overview.mp4 4MB
  55. ~Get Your Files Here !/06 Softmax think out of the box (Hands On)/003 Summery.mp4 3MB
  56. ~Get Your Files Here !/11 PEARL and NPILD (code)/npild_pearl/npild_pearl.ipynb 808KB
  57. ~Get Your Files Here !/13 SupCon & SimCLR (Code)/selfsupcon_supcon/selfsupcon_supcon.ipynb 453KB
  58. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/augmentations/cutmix.ipynb 437KB
  59. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/image_search/faiss.ipynb 319KB
  60. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/augmentations/randaug.ipynb 97KB
  61. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/image_search/basic_search_with_resnet_imagenet.ipynb 69KB
  62. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/image_search/basic_img_search_with_pretraied_resnet_trained_with_cifar10.ipynb 66KB
  63. ~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/background/torch_training_process.ipynb 64KB
  64. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/image_search/cluster_search_v1.ipynb 60KB
  65. ~Get Your Files Here !/06 Softmax think out of the box (Hands On)/soft_softmax/not_so_soft.ipynb 54KB
  66. ~Get Your Files Here !/11 PEARL and NPILD (code)/npild_pearl/mock_npild_pearl.ipynb 36KB
  67. ~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/background/numpy_v1.ipynb 20KB
  68. ~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/001 Data Science in Numpy - Part1 (Code).en.srt 17KB
  69. ~Get Your Files Here !/13 SupCon & SimCLR (Code)/selfsupcon_supcon/mock_selfsupcon_loss.ipynb 14KB
  70. ~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/background/torch_v2.ipynb 13KB
  71. ~Get Your Files Here !/13 SupCon & SimCLR (Code)/002 Mocking SimCLR(Code).en.srt 11KB
  72. ~Get Your Files Here !/11 PEARL and NPILD (code)/001 NCE & Memory Bank (Code).en.srt 10KB
  73. ~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/background/torch_intro.ipynb 9KB
  74. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/005 CutMix (Code).en.srt 9KB
  75. ~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/003 Data Science in Pytorch - Part 2(Code).en.srt 8KB
  76. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/001 Image Search(Basic & Cluster).en.srt 8KB
  77. ~Get Your Files Here !/03 Pytorch AutoGrad/001 Pytorch AutoGrad.en.srt 8KB
  78. ~Get Your Files Here !/13 SupCon & SimCLR (Code)/003 SimClr and Supervised Contrastive Learning (Code).en.srt 7KB
  79. ~Get Your Files Here !/11 PEARL and NPILD (code)/npild_pearl/non_parrametric_softmax_crossentropy.ipynb 7KB
  80. ~Get Your Files Here !/10 PEARL/003 PEARL Loss.en.srt 7KB
  81. ~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/002 Data Science in Pytorch - Part1 (Code).en.srt 7KB
  82. ~Get Your Files Here !/03 Pytorch AutoGrad/002 Custom CNN in Pytorch.en.srt 7KB
  83. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/001 Non-Parametric Instance-level Discrimination & Metric learning approach.en.srt 7KB
  84. ~Get Your Files Here !/13 SupCon & SimCLR (Code)/001 Supervised Contrastive Learning.en.srt 6KB
  85. ~Get Your Files Here !/01 Introduction/001 Why Should You Take This Course_.en.srt 6KB
  86. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/003 Basic Image Search (Code).en.srt 6KB
  87. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/008 Non Parametric Softmax (CrossEntropy) (Code).en.srt 6KB
  88. ~Get Your Files Here !/10 PEARL/004 PEARL Results.en.srt 6KB
  89. ~Get Your Files Here !/11 PEARL and NPILD (code)/002 Network and Training NPILD & Pearl (Code).en.srt 6KB
  90. ~Get Your Files Here !/15 Bonus Lectures/002 Tips From My Expeience.en.srt 6KB
  91. ~Get Your Files Here !/06 Softmax think out of the box (Hands On)/001 SoftMax Think out of the box.en.srt 5KB
  92. ~Get Your Files Here !/08 JigSaw/002 Network and Training process.en.srt 5KB
  93. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/001 Why Data Augmentation & History.en.srt 5KB
  94. ~Get Your Files Here !/10 PEARL/001 Self-Supervised Learning of Pretext-Invariant Representations (PEARL) - Part 1.en.srt 5KB
  95. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/004 Noise contrastive estimation (NCE) - Part 1.en.srt 5KB
  96. ~Get Your Files Here !/07 Prelearing & UVR by Context Prediction (Theory)/003 Results of UVR by Context Prediction.en.srt 5KB
  97. ~Get Your Files Here !/15 Bonus Lectures/003 Congratulation & Few More ideas.en.srt 5KB
  98. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/006 RandAugment.en.srt 5KB
  99. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/004 Basic Image Search With pertained Resnet (cifar-10 dataset) (Code).en.srt 5KB
  100. ~Get Your Files Here !/12 SimCLR/001 SIMCLR Overview.en.srt 4KB
  101. ~Get Your Files Here !/06 Softmax think out of the box (Hands On)/002 Temperature Scaling & soft softmax (code).en.srt 4KB
  102. ~Get Your Files Here !/12 SimCLR/002 SIMCLR & Multiview Batch.en.srt 4KB
  103. ~Get Your Files Here !/01 Introduction/004 Course Structure & Important Notes.en.srt 4KB
  104. ~Get Your Files Here !/10 PEARL/002 PEARL Overview Part 2.en.srt 4KB
  105. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/002 CutMix Paper Overview.en.srt 4KB
  106. ~Get Your Files Here !/01 Introduction/003 Applications.en.srt 4KB
  107. ~Get Your Files Here !/01 Introduction/002 Google Colab Setup.en.srt 4KB
  108. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/002 NPILD Training Process.en.srt 4KB
  109. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/006 NPILD Put it all together.en.srt 4KB
  110. ~Get Your Files Here !/15 Bonus Lectures/001 Vissl & Albumentations.en.srt 4KB
  111. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/007 RandAugment (Code).en.srt 3KB
  112. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/003 Non Parametric Softmax.en.srt 3KB
  113. ~Get Your Files Here !/12 SimCLR/003 SimCLR Algorithm and Loss.en.srt 3KB
  114. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/005 Cluster Search (Code).en.srt 3KB
  115. ~Get Your Files Here !/07 Prelearing & UVR by Context Prediction (Theory)/001 Pretext Task.en.srt 3KB
  116. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/003 Results of CutMix.en.srt 3KB
  117. ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/004 CutMix Algorithm.en.srt 3KB
  118. ~Get Your Files Here !/07 Prelearing & UVR by Context Prediction (Theory)/002 Overview of Unsupervised Visual Representation Learning by Context Prediction.en.srt 2KB
  119. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/007 NPILD Result.en.srt 2KB
  120. ~Get Your Files Here !/08 JigSaw/003 Results of JigSaw.en.srt 2KB
  121. ~Get Your Files Here !/12 SimCLR/005 Softmax is invariant under translation (Important).en.srt 2KB
  122. ~Get Your Files Here !/08 JigSaw/001 Overview of Jigsaw.en.srt 2KB
  123. ~Get Your Files Here !/12 SimCLR/004 Training Details.en.srt 2KB
  124. ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/005 FULL NCE Loss.en.srt 2KB
  125. ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/002 Faiss Overview.en.srt 2KB
  126. ~Get Your Files Here !/06 Softmax think out of the box (Hands On)/003 Summery.en.srt 602B
  127. ~Get Your Files Here !/Bonus Resources.txt 357B
  128. Get Bonus Downloads Here.url 183B