Path |
Digest |
Size |
timm/__init__.py |
sha256=0bkaVTGjSB6BZhqG8Fw6PFcmGXI47BdNt4cg-eA_QdA
|
292 |
timm/version.py |
sha256=sjbSI9pD_ax1lDz-Vkqhtayi4pYkS7gC5S66m6-wX0E
|
27 |
timm/data/__init__.py |
sha256=z6Rudp7e489CWoOw3TXBMG0A1mzXSgGBWz5MptnPAW0
|
819 |
timm/data/auto_augment.py |
sha256=E1JZWZLV6GZowIkeAFU0ZuaF7MhHkoaSbKVQogLDinA
|
35550 |
timm/data/config.py |
sha256=uf2p-mNW_wntCe34K_Xr3J45cJh8IWEl_cMwgyKGR-g
|
4616 |
timm/data/constants.py |
sha256=ZkSr7QArcsDyOOBRYQpLe4c2VOJKRAYoDRU1JwYJseE
|
442 |
timm/data/dataset.py |
sha256=WQKkoyZRtgmWbREn-D5i-PyHHgKdVhOWxypdWzpffrk
|
6210 |
timm/data/dataset_factory.py |
sha256=DakZNEZlCYeKnizm-hXzGtEUEHxg1XypgRCEXS4jLNc
|
8180 |
timm/data/dataset_info.py |
sha256=fAjTkbi-3oEZveKg-n1cxOYM_gcD5kcUeWMWWRRkhOQ
|
2391 |
timm/data/distributed_sampler.py |
sha256=mfcS_bzL_zEIREpRer8LAdXw1WvUFYJrXgqKw2fqlHE
|
5540 |
timm/data/imagenet_info.py |
sha256=c_DKVQQyzHYftgoUO-12BuqhsBJI_h6Scyg6Gzue-fY
|
4167 |
timm/data/loader.py |
sha256=M-fb8iir2TYvbddz6p4t6zweciIzt4FKmPxI4o5IjQc
|
15423 |
timm/data/mixup.py |
sha256=-U4kqPGFOZCz_u2rXVXLXvLkdRX1rhIjHmqJfVjzZgs
|
14634 |
timm/data/random_erasing.py |
sha256=jSTJq-1zGZT1zRWv5ByyBuA4lQdj_EFcoibdLjRQaDo
|
4964 |
timm/data/real_labels.py |
sha256=xdexeoU_KE6c2HY0G81Ny2-T_iTQ_1HOWLj7R_WfAls
|
1800 |
timm/data/tf_preprocessing.py |
sha256=xClMeZyUPx8YATBvVnzig0bDJNBa8ZqzcpmVWUwefWg
|
9169 |
timm/data/transforms.py |
sha256=rrc7eUpxFpJVVrlVrXuwhqm3FwrWc6S4FRVP8yx_8tM
|
18991 |
timm/data/transforms_factory.py |
sha256=qAUX67GF6UBVOOGmKFAHdrwE9YZlAX2-ywwlq_uvR3c
|
17659 |
timm/data/_info/imagenet12k_synsets.txt |
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|
118210 |
timm/data/_info/imagenet21k_goog_synsets.txt |
sha256=ZjYr3t822TM4LtylST_FYtzBcSjONkA8nnMKdfSMsvI
|
218430 |
timm/data/_info/imagenet21k_goog_to_12k_indices.txt |
sha256=a1iOnVXH_tZ6rILpG-6r5-rOLeHtZxFQEMoHYXnoxQg
|
64070 |
timm/data/_info/imagenet21k_goog_to_22k_indices.txt |
sha256=hqdngDZvgHqfgEYX6iRMob9YF0FNAzDPEbop4oXBzFc
|
119937 |
timm/data/_info/imagenet21k_miil_synsets.txt |
sha256=zXbZd9qqLxOkqR_KD1NxPy8pZ1MI1M4PDuDlsHoxZMY
|
112210 |
timm/data/_info/imagenet21k_miil_w21_synsets.txt |
sha256=9J3ePWmUa4Y1WGQy8081mF-AfRaChs5f3nRqrDp9lMg
|
104500 |
timm/data/_info/imagenet22k_ms_synsets.txt |
sha256=4Vnv059w0m-neBjxeEF-j6x59ltzrBbRAVFeEgd0MeY
|
218410 |
timm/data/_info/imagenet22k_ms_to_12k_indices.txt |
sha256=wMkQkjtw2JKm-KzN6bDKvaqN1nuMD8_QuC1IFVei1js
|
63625 |
timm/data/_info/imagenet22k_ms_to_22k_indices.txt |
sha256=Sp_dB0M-ncOF_j_rAhWGMI-JSj3LhfSIKyXtIEz2MyE
|
119938 |
timm/data/_info/imagenet22k_synsets.txt |
sha256=CuJFOHUZc3l7KdjexBKyvcYbxOw-zQgeugc1gEI2u9I
|
218410 |
timm/data/_info/imagenet22k_to_12k_indices.txt |
sha256=0_-qtIBkurHqfOFibHL1oBHuRQPKxhK5DuHaDRR8joc
|
64070 |
timm/data/_info/imagenet_a_indices.txt |
sha256=6BIjo1rdbnj5r-byFWUsGSbr7-HY78JsbpI9eskUOTc
|
774 |
timm/data/_info/imagenet_a_synsets.txt |
sha256=mCaiQWbnTOYvuHsniJh0yiaRdULHRXEjCdbiWFXWO8I
|
2000 |
timm/data/_info/imagenet_r_indices.txt |
sha256=keCdL_CgAhBLwNN6iSp-df_CzA20eytQYEejSTuRFtI
|
769 |
timm/data/_info/imagenet_r_synsets.txt |
sha256=pqByn3qZIwKAY5yrblHgFIWjtBpnbqNWIaUBydboPKQ
|
2000 |
timm/data/_info/imagenet_real_labels.json |
sha256=2D6b_zdMYxquhDnrBkxwGazFbhs7w_Vrg4DCpxCwIgs
|
388478 |
timm/data/_info/imagenet_synset_to_definition.txt |
sha256=GR4ifUj8jHt-LSo8rEH8iy61F9nSgZ0O28kcV2clDu0
|
1748917 |
timm/data/_info/imagenet_synset_to_lemma.txt |
sha256=G4ur2hh0IaS94MnFoZfDb2vdqWL3yhH_soE4BsuyF48
|
741457 |
timm/data/_info/imagenet_synsets.txt |
sha256=cAArD_XeYKOheoLb_P8pGTH5YiXd-UGtLhgvw54YPRU
|
10000 |
timm/data/readers/__init__.py |
sha256=AuKgQjZ5q9XILIZu6iRDIJy-Xydig_zC1TlaVRmRcCY
|
72 |
timm/data/readers/class_map.py |
sha256=dMXs4PuEDqJroaOmlBttTpjMlaeXMiB4H4barDKtzvc
|
895 |
timm/data/readers/img_extensions.py |
sha256=KTtkCyfrOhLwH7vws7k7xshkEqekdrEGZ-rmErySvcQ
|
1482 |
timm/data/readers/reader.py |
sha256=_Fp97wLI1cxFFI1QlOkvWIKwdmtQaPEgH97KmtQDZoI
|
487 |
timm/data/readers/reader_factory.py |
sha256=cYqgl-7Ix-xslL83N8Ae6kzAIKlpdd2qkMYciRBO4PA
|
1732 |
timm/data/readers/reader_hfds.py |
sha256=qriamfkj7z2csZYeIMm1_uzr_Xeel_h_tlgqP3535DI
|
2608 |
timm/data/readers/reader_hfids.py |
sha256=Ok6dchV4HFPvry8gyELnyxgq_nk6EIKJlHwnjZxCBcE
|
8282 |
timm/data/readers/reader_image_folder.py |
sha256=_htQ_ouMibCeeemg0097v7nj14qXlFAtpS9HVQwoqNI
|
3508 |
timm/data/readers/reader_image_in_tar.py |
sha256=ok4IDPkpuu_3RKxK83EEo7zfLPnqJq_x7CwDmepAf3E
|
9182 |
timm/data/readers/reader_image_tar.py |
sha256=h0PlhmHU_1QzUy4p3psI9JoeaAao1_OBFK1_K6Re9e4
|
2644 |
timm/data/readers/reader_tfds.py |
sha256=5daaqhJzYq7hbYBAeuF06lXCO7A0tPipHbJVMFMv-Nk
|
17909 |
timm/data/readers/reader_wds.py |
sha256=S91U97D9aKpL1INHA4biFkD5NZiUSa2sLTz7onllDxQ
|
16947 |
timm/data/readers/shared_count.py |
sha256=___RvLR-johRZ0Ins6iKVAkKU44LxU3o4H7E0B0b25o
|
303 |
timm/layers/__init__.py |
sha256=RHUfwMJFkRWWWve_7_r-Hfl-xmJA-XET0iwWM4pa014
|
3827 |
timm/layers/activations.py |
sha256=5dnM9Fr63FBHTBwmNk7Ps__fYL4aCJfqUbWhFLAYm0I
|
4882 |
timm/layers/activations_jit.py |
sha256=BQI8MYjZhJx0w6yTUpsl_x_tg-XFdbYDkYy5EEBQYIQ
|
2529 |
timm/layers/activations_me.py |
sha256=Qlrh-NWXxC6OsxI1wppeBdsd8UGWXT8ECH95tFaXGEQ
|
5886 |
timm/layers/adaptive_avgmax_pool.py |
sha256=FuZGd2Kxun9TREPokg3zkHnrn3dZ9Fx9mKnQLxuL97I
|
6309 |
timm/layers/attention_pool.py |
sha256=-XLq9I4j8FPwC0jHh1M9meT3fG17afQBhrDg1rDEwRA
|
3458 |
timm/layers/attention_pool2d.py |
sha256=zQ0P6VRo_VsZ1PdmjCEbOybqHilTmVQHiRjfFGlm29c
|
4934 |
timm/layers/blur_pool.py |
sha256=MfwXZp6m7OtjTJzXS1Ihxtne2it4hqyI2VHdjWgEU_E
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1594 |
timm/layers/bottleneck_attn.py |
sha256=HLuZbyep1Nf9Qq9Aei81kCzQMs6U1aQBQRLrOnjnkHo
|
6895 |
timm/layers/cbam.py |
sha256=b6lo3KFOc88MV4ITw2pSokuvpLkAFpB9lNc1e20QdGI
|
4426 |
timm/layers/classifier.py |
sha256=WhyfkuBcRfQSRmw6C4wcQLbGJJOFuJGFM0GPe6Ilw0w
|
7486 |
timm/layers/cond_conv2d.py |
sha256=bUfMYl3PRnfdIULJoXlLjh71UT8ZSsb8lQBa_n-q7Vo
|
5199 |
timm/layers/config.py |
sha256=_11jlMV9cDw--w1zSKxHeJINOf60N6IDqns0m2gPGts
|
4175 |
timm/layers/conv2d_same.py |
sha256=ssxoaAlxauEavfvR792KBfIImVEATlql7tDssv7xyRY
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3216 |
timm/layers/conv_bn_act.py |
sha256=Jr2pUtKhj8LzuoOVhTO4IaIn08uBqfzLkzMPdiv7JJI
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3836 |
timm/layers/create_act.py |
sha256=fq15biWfb44xovxYSaRqDOo6XYLOL6iV0Z2SPABGCtc
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5416 |
timm/layers/create_attn.py |
sha256=d9-j6iPcFPpC2o7_DW4QLKKP1KWZBhZn6-AHH-iSfh4
|
3514 |
timm/layers/create_conv2d.py |
sha256=darxUzkvPYUxguuJ_WJd1PepkxOK4if5JwJzC5IC85k
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1622 |
timm/layers/create_norm.py |
sha256=KArZb6aatyoJs84yO1YxgDCvzH07nAGuJteZwJE5buI
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1573 |
timm/layers/create_norm_act.py |
sha256=i5EIl-X8gr75TFJ0t7OQaExFIFc_OLMpDVHLhCJFfIo
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3836 |
timm/layers/drop.py |
sha256=Dg5RTxaq4evq3vCz_nh9dWcFCtygyKGEy1EkSYkDULU
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6872 |
timm/layers/eca.py |
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timm/layers/evo_norm.py |
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13862 |
timm/layers/fast_norm.py |
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timm/layers/filter_response_norm.py |
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timm/layers/format.py |
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timm/layers/gather_excite.py |
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timm/layers/global_context.py |
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timm/layers/grn.py |
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timm/layers/halo_attn.py |
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timm/layers/helpers.py |
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timm/layers/inplace_abn.py |
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timm/layers/interpolate.py |
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timm/layers/lambda_layer.py |
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timm/layers/linear.py |
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timm/layers/median_pool.py |
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timm/layers/mixed_conv2d.py |
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timm/layers/ml_decoder.py |
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timm/layers/mlp.py |
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timm/layers/non_local_attn.py |
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timm/layers/norm.py |
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timm/layers/norm_act.py |
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timm/layers/padding.py |
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timm/layers/patch_dropout.py |
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timm/layers/patch_embed.py |
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timm/layers/pool2d_same.py |
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timm/layers/pos_embed.py |
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timm/layers/pos_embed_rel.py |
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timm/layers/pos_embed_sincos.py |
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timm/layers/selective_kernel.py |
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timm/layers/separable_conv.py |
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timm/layers/space_to_depth.py |
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timm/layers/split_attn.py |
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timm/layers/split_batchnorm.py |
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timm/layers/squeeze_excite.py |
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timm/layers/std_conv.py |
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timm/layers/test_time_pool.py |
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timm/layers/trace_utils.py |
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timm/layers/typing.py |
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timm/layers/weight_init.py |
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timm/loss/__init__.py |
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timm/loss/asymmetric_loss.py |
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timm/loss/binary_cross_entropy.py |
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timm/loss/cross_entropy.py |
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timm/loss/jsd.py |
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timm/models/__init__.py |
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timm/models/_builder.py |
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timm/models/_efficientnet_blocks.py |
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timm/models/_efficientnet_builder.py |
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timm/models/_features.py |
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timm/models/_features_fx.py |
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timm/models/_helpers.py |
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timm/models/_hub.py |
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timm/models/_manipulate.py |
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timm/models/_pretrained.py |
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timm/models/_prune.py |
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timm/models/_registry.py |
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timm/models/beit.py |
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timm/models/byoanet.py |
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timm/models/byobnet.py |
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timm/models/cait.py |
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timm/models/coat.py |
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timm/models/convit.py |
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timm/models/convmixer.py |
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timm/models/convnext.py |
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