Today I found this link while searching for efficientnet noisy student pretrained models, since official weights have not been released, as far as I know.
\n\nhttps://github.com/rwightman/pytorch-image-models
\n\nIt not only have efficientnet noisy student pretrained models but also plethora of other models. Its a must watch repository for pytorch users, in addition to following repositories that I use:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/qubvel/segmentation_models.pytorch\nhttps://github.com/lukemelas/EfficientNet-PyTorch
", "messages": [ { "id": 836691, "postDate": "2020-05-07T06:46:50.597Z", "content": "Today I found this link while searching for efficientnet noisy student pretrained models, since official weights have not been released, as far as I know.
\n\nhttps://github.com/rwightman/pytorch-image-models
\n\nIt not only have efficientnet noisy student pretrained models but also plethora of other models. Its a must watch repository for pytorch users, in addition to following repositories that I use:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/qubvel/segmentation_models.pytorch\nhttps://github.com/lukemelas/EfficientNet-PyTorch
", "rawMarkdown": "Today I found this link while searching for efficientnet noisy student pretrained models, since official weights have not been released, as far as I know.\n\nhttps://github.com/rwightman/pytorch-image-models\n\nIt not only have efficientnet noisy student pretrained models but also plethora of other models. Its a must watch repository for pytorch users, in addition to following repositories that I use:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/qubvel/segmentation_models.pytorch\nhttps://github.com/lukemelas/EfficientNet-PyTorch", "votes": 2 }, { "id": 837583, "postDate": "2020-05-07T21:59:36.003Z", "content": "Would you recommend it to a beginner like me? \nThanks.
", "rawMarkdown": "Would you recommend it to a beginner like me? \nThanks.", "replies": [ { "id": 837896, "postDate": "2020-05-08T05:55:48.050Z", "content": "If you know how to create and train a basic model in pytorch than you can directly use them. Infact its very easy and convenient to use them.
", "rawMarkdown": "If you know how to create and train a basic model in pytorch than you can directly use them. Infact its very easy and convenient to use them.", "votes": 1 }, { "id": 837931, "postDate": "2020-05-08T06:50:41.360Z", "content": "Okay, thanks a lot for your assistance.
", "rawMarkdown": "Okay, thanks a lot for your assistance.\n" }, { "id": 837949, "postDate": "2020-05-08T07:12:42.110Z", "content": "@darshangandhi I want to share my personal experience with you. About 8-9 month ago I was an absolute beginner in pytorch and today I won 2 solo silver and 3 solo Bronze medals in computer vision competitions using pytorch. Start with any good book or online course than go through these repository. Best way to learn is to join a competition and actively participate in it. While creating any model if you can not understand documentation look at source code.
", "rawMarkdown": "@darshangandhi I want to share my personal experience with you. About 8-9 month ago I was an absolute beginner in pytorch and today I won 2 solo silver and 3 solo Bronze medals in computer vision competitions using pytorch. Start with any good book or online course than go through these repository. Best way to learn is to join a competition and actively participate in it. While creating any model if you can not understand documentation look at source code.", "votes": 1 }, { "id": 837960, "postDate": "2020-05-08T07:20:48.683Z", "content": "Oh, wow! \nThis sounds great sir.\nThanks alot for your kind words and assistance, I shall try to employ the method you mentioned and work around.\nI would like to stay connected with you if that's possible as well.\nThanks for the guidance.
", "rawMarkdown": "Oh, wow! \nThis sounds great sir.\nThanks alot for your kind words and assistance, I shall try to employ the method you mentioned and work around.\nI would like to stay connected with you if that's possible as well.\nThanks for the guidance." }, { "id": 838670, "postDate": "2020-05-08T17:55:08.170Z", "content": "@darshangandhi For participating in computer vision competition you should be familiar with other libraries such as: numpy, opencv, pandas etc. I fotgot to tell you before.
", "rawMarkdown": "@darshangandhi For participating in computer vision competition you should be familiar with other libraries such as: numpy, opencv, pandas etc. I fotgot to tell you before." }, { "id": 838686, "postDate": "2020-05-08T18:07:24.927Z", "content": "Yes obviously, I am not familiar with opencv, and would want to explore that side.
", "rawMarkdown": "Yes obviously, I am not familiar with opencv, and would want to explore that side." } ] } ], "comments": [ { "id": 837583, "author_name": "Darshan Gandhi", "author_url": "", "post_date": "2020-05-07T21:59:36.003000", "content": "Would you recommend it to a beginner like me? \nThanks.
", "votes": 0, "replies": [ { "id": 837896, "author_name": "Raghawendra Singh", "author_url": "", "post_date": "2020-05-08T05:55:48.050000", "content": "If you know how to create and train a basic model in pytorch than you can directly use them. Infact its very easy and convenient to use them.
", "votes": 1, "replies": [] }, { "id": 837931, "author_name": "Darshan Gandhi", "author_url": "", "post_date": "2020-05-08T06:50:41.360000", "content": "Okay, thanks a lot for your assistance.
", "votes": 0, "replies": [] }, { "id": 837949, "author_name": "Raghawendra Singh", "author_url": "", "post_date": "2020-05-08T07:12:42.110000", "content": "@darshangandhi I want to share my personal experience with you. About 8-9 month ago I was an absolute beginner in pytorch and today I won 2 solo silver and 3 solo Bronze medals in computer vision competitions using pytorch. Start with any good book or online course than go through these repository. Best way to learn is to join a competition and actively participate in it. While creating any model if you can not understand documentation look at source code.
", "votes": 1, "replies": [] }, { "id": 837960, "author_name": "Darshan Gandhi", "author_url": "", "post_date": "2020-05-08T07:20:48.683000", "content": "Oh, wow! \nThis sounds great sir.\nThanks alot for your kind words and assistance, I shall try to employ the method you mentioned and work around.\nI would like to stay connected with you if that's possible as well.\nThanks for the guidance.
", "votes": 0, "replies": [] }, { "id": 838670, "author_name": "Raghawendra Singh", "author_url": "", "post_date": "2020-05-08T17:55:08.170000", "content": "@darshangandhi For participating in computer vision competition you should be familiar with other libraries such as: numpy, opencv, pandas etc. I fotgot to tell you before.
", "votes": 0, "replies": [] }, { "id": 838686, "author_name": "Darshan Gandhi", "author_url": "", "post_date": "2020-05-08T18:07:24.927000", "content": "Yes obviously, I am not familiar with opencv, and would want to explore that side.
", "votes": 0, "replies": [] } ] } ], "raw_markdown_by_id": { "836691": "Today I found this link while searching for efficientnet noisy student pretrained models, since official weights have not been released, as far as I know.\n\nhttps://github.com/rwightman/pytorch-image-models\n\nIt not only have efficientnet noisy student pretrained models but also plethora of other models. Its a must watch repository for pytorch users, in addition to following repositories that I use:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/qubvel/segmentation_models.pytorch\nhttps://github.com/lukemelas/EfficientNet-PyTorch", "837583": "Would you recommend it to a beginner like me? \nThanks." } }