Wheelodex » Projects » funkeras

funkeras

View on PyPI — Reverse Dependencies (0)

0.8.12 funkeras-0.8.12-py3-none-any.whl

Wheel Details

Project: funkeras
Version: 0.8.12
Filename: funkeras-0.8.12-py3-none-any.whl
Download: [link]
Size: 268194
MD5: 1a71ea4541beb89a1f1f3f4d46027db3
SHA256: c54638208c6b83c6c859e9c4a557b305b7128d9680f3421e415d468897b6553a
Uploaded: 2023-08-25 07:26:00 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: funkeras
Version: 0.8.12
Summary: funkeras
Author: bingtao
Author-Email: 1007530194[at]qq.com
Home-Page: https://github.com/farfarfun/funkeras
Requires-Dist: tensorflow
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: opencv-python
Requires-Dist: pillow
Requires-Dist: tqdm
Description-Content-Type: text/markdown
[Description omitted; length: 1176 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
notekeras/__init__.py sha256=8_dKxJ2Y5951xLKlEnU5FdosMHnzPGempor-JnKRROg 114
notekeras/backend.py sha256=bwajpF6ep1qb-vwuqH1ya54lcJnLcC4DtfigN3gdxxc 1005
notekeras/tokenizer.py sha256=ZdtZWTWv7eTsVCBhr0e_yPYCMKa37A0MIhqx6txlfP0 12689
notekeras/activations/__init__.py sha256=YMkGVOYTeUU56GL-H68vbNQXTbBYvBYOPgpPfPpiwn8 30
notekeras/activations/core.py sha256=w6Y-DatNrk32hXLwU5bKzsyxnovcO3IK_LA4MATarMg 278
notekeras/algorithm/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/algorithm/models.py sha256=lV_e6aSCXcyPhVwOeGiNF4XhBgcESeKAky_Ca1whbkI 3913
notekeras/component/__init__.py sha256=VnG7swvrT-RYa2ngASRVymVM6xkXsUMNVVT1XZsXZ4g 335
notekeras/component/components.py sha256=4YiR88rM-qIiLDbNkCy_jQWNj90xV7QBYbGa9iskU9I 4442
notekeras/component/core.py sha256=JWk5xacv1Ex456GTflg9HSUxhFsudK7imw-yAp-ELTk 2633
notekeras/component/resnet_bolck.py sha256=3Jx46UZFneBh5Y4WN520NRynZkb3lj0NLUspWbNiUJQ 27326
notekeras/component/transformer.py sha256=kfqa4p-jPkwDLnFuQ8uP2-fLHVxAH_QtMhX9EzgiaF4 14634
notekeras/component/image/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/component/image/core.py sha256=UA8ocOsw8152TFC_vL8s2j7k4oh3S5wnafw_fpY1QCk 1023
notekeras/component/yolo/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/component/yolo/core.py sha256=m0FNCnAVCw74aCWXdGvfjszE34lKmI5DzT8J0oX7tzw 5083
notekeras/component/yolo/yolo3.py sha256=X7CETPyJg-lC6VWT9jORJ7qEELO77gtc0VAbOyopnSw 6201
notekeras/features/__init__.py sha256=LJ0PcU_7eQ-O1V9YD6TByYJFE4AVXjrGtJ5kNjnaHrU 207
notekeras/features/core.py sha256=lMjUrZd9q-kcsVMDCWtpUvDXsrhY7ma9jPSOZB7Jt2k 7002
notekeras/features/example.py sha256=GDWyd561nJ616l0fvINOjz2q02ujEnymw77H1HfJEzI 76745
notekeras/features/feature_column_def.py sha256=jt-gsGVzXh4-8TD_UArF-CofQqNuzLa7H05wPoQbO_w 10553
notekeras/features/feature_parse.py sha256=qPNv2bD5E8e27LhToJ-6gXoF_KhHXDN85wSj0FFeSh4 12954
notekeras/features/feature_parse_keras.py sha256=MGARRHJ0oX5vLyiOYf-Z1MPBVa7mqR9y2kbYY1F4P90 11253
notekeras/features/parse_pandas.py sha256=DdPO5-5eK5u1h-AJ6qCkNMl0hEZKPW85hUaWejPhwJQ 9937
notekeras/initializers/__init__.py sha256=UkdOWmkOQnn2qn669LjFoUMK1otuNC-ZN382OmemSvA 35
notekeras/initializers/core.py sha256=c4U7kmarBucTvIwftgxFGjn8z3OkXE8mso_M_2Tq3Ac 663
notekeras/inputs/__init__.py sha256=K0kNy26Vm6A-1V5lST3ily6yVsNLUbiqk6AZDFm2nJI 20
notekeras/inputs/core.py sha256=KfFoiPH7U5a0sVahHneGI1EjiLPpR0e4ECgKvFUuQbI 14217
notekeras/layers/__init__.py sha256=bzMtx3CMNciMeYwLTAB2s9mSIjfpSRwTJ2Wm8sTxGiA 954
notekeras/layers/activations.py sha256=GmCc_HL8OCh3ItfPnRGHhaJnGUYWNWbYwtKoMeKoWQ4 594
notekeras/layers/attention.py sha256=g3qal81WkKEeHVN_Ja7XE-Bk_QaSmsFuDinfb26Eme4 28213
notekeras/layers/conv.py sha256=FQTXGk0b0_EkZl_I9oLuK5l23Fe-rm_5-8ogQy0kyes 672
notekeras/layers/core.py sha256=J-9WH873PzBLgORoFe0IDgrPdew-eyDnMwbSAZgpPOA 8895
notekeras/layers/embedding.py sha256=fZKRECAUfjyUqnTKyiDMP2iltorrHEGTKEKeVV0lXSY 20351
notekeras/layers/extract.py sha256=3z3KWbVPLpUzCvIPViIYbCFCdoBW8TV0RjjTog54UQ4 776
notekeras/layers/feed_forward.py sha256=OdKfYTzRL-X3dNCP97sM04PtNorNkY9WvlzRO_Z7_Zg 5703
notekeras/layers/fm.py sha256=WhiBkya3BgY96ilhQDg1TZ52lh2zLragVbJl7P-ekZk 6409
notekeras/layers/inputs.py sha256=XXptWvJzwxeDobrjeOGCfrUj-9rVPPYkf1jBcFl1Kb8 380
notekeras/layers/masked.py sha256=hNRHe1P0JPqJq7xv0kwp4cEW2MK9856AoZPPqwOOMKA 1658
notekeras/layers/normalize.py sha256=fZTbPRZTB0f1gaiNBj1SrEZc_sZFFw0VZWwILTkNw5w 5000
notekeras/layers/pooling.py sha256=tFEvXsoievecpoTDKQ5Z9WRUcclncaW879Ep8tDR3Yw 646
notekeras/layers/retinanet.py sha256=I6a1r_heShxqs975j3BpVtknPFCpPsmaiPC92yO7obU 13150
notekeras/layers/wrappers.py sha256=tCja62y68o1nptRqDZYMOoMTK8kyyIzfWLHqzyavA5A 7761
notekeras/layers/graph/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/layers/graph/base.py sha256=uw78vuncMQa9rOBiW5s88sE4XGgPVuxddoM425W85xg 8731
notekeras/layers/graph/conv.py sha256=umoOBbSO60bRnQKT9ZB3aniqyAbMiBk-Vy_GKmFPa3M 49570
notekeras/layers/graph/mpnn.py sha256=PzKOexfjDQm1sHKEYwZkhq3tPUldOheHDp-5uz2-ReY 39792
notekeras/layers/graph/pool.py sha256=QYztT1sQJoS16IThXpQMXYTn-yS8h2esCmE7i1uXoII 29916
notekeras/layers/graph/utils.py sha256=U2dVO8_oAd6eR4ArFIvPS6KiMBUwnIvgI22AcRfDmPk 8323
notekeras/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/models/benchmarks.py sha256=5du1z6fsY5RNiXuDPqAkqtoAstSC9Tqgjp26vimXObQ 3427
notekeras/models/bert.py sha256=E3qRvTx6G3u7ZFsxF7KTxSAI5XvglAaNhs883xkLnlY 22825
notekeras/models/inception.py sha256=aJ3or2WrtNAABs3GHien_l46HhNUimPcv-ISLhUr1nE 13252
notekeras/models/loader.py sha256=99_5pW9O2ruUpJqlqvScladdRDrXgjNetwLKxrC3hnY 11487
notekeras/models/resnet.py sha256=WUrq--fLIP3DSl1z1WaKt1j4OA2JYRTMwx-U7wdJd8c 28611
notekeras/models/similarity.py sha256=NK0Q7nUQeHIrZ3mq0hID6Qkw8m8_50aa4pqFXBKKQh0 7710
notekeras/models/temp.py sha256=eBLgmwKQSlrqIshxbn8NimOdU7z7QnezXXY6npRpE64 26470
notekeras/models/text.py sha256=OZNJIg1cjTXpygKYZ0R-e7Ep1i_CDf6Fbi67zf8BZcA 1852
notekeras/models/transformer.py sha256=oxb_o1qCr74s6qOA19T4qrfFg_HsfAqtVrSYBjdi8IQ 13242
notekeras/models/din/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/models/din/model.py sha256=Jtb33cXpb7-AI-QLmABUSAu4-cfAnXkBExP5q1qXMoc 6821
notekeras/models/din/train.py sha256=0T2LJ2LRhszu_WB2aE5sJNLhlt2ri6EfEkG641yg2y8 2372
notekeras/models/fm/__init__.py sha256=tafECYKgB6FwovY8Av2TICVoXnKlpxUWL0lQtTU2OTk 42
notekeras/models/fm/core.py sha256=nspQ22T2hfyqdQbOa3urLyUl881Dutt5P3DqaFDNOKg 2403
notekeras/models/fm/model.py sha256=6zfndbq-24SlH61E4mNCU6wVadwJluILmrhZjMkNQX0 32545
notekeras/models/fm/train.py sha256=iF1CM2P-25XZp9K-_pmXaf5_qehYtYNvNemKkxRINtQ 5854
notekeras/models/fm/train_bak.py sha256=UYa-bd1F2EIzwdor2NXzwt6Nnz4DkXiq6f_-MnbP6Fc 20017
notekeras/models/inception/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/models/inception/inception_v3.py sha256=-p3Cwfi5fJpM67AL9HOmRh-dlvjzvL7ZqPV91oQx3HM 16714
notekeras/models/resnet/__init__.py sha256=4HUKV_BT8I_v_3LMaf2o57KiWxkr8qt38Y5yIPfn1Pg 1167
notekeras/models/resnet/classifiers.py sha256=n9KFFMuDms6S5_WcAFH-afDnwg3MsVTEHktLr53GrmY 4685
notekeras/models/resnet/core.py sha256=huOOQTIbfYgazKpdJw_YJg5BqFk05Wp4Qzv2kf4Jadk 52329
notekeras/models/resnet/metrics.py sha256=liVFkB0X6p5ZSt51PsgFpRBKnrBtoma33LXjXLPVPQI 277
notekeras/models/retinanet/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/models/retinanet/core.py sha256=8XHpljVQmn0k1iMkzm2t03Rnlh_y1DLT3UkDsh84Tsk 4997
notekeras/models/retinanet/generator.py sha256=TyQ9cq4VkZmwz_SClvXndD0itWmGLE2tlcD8XDspTVI 32284
notekeras/models/retinanet/losses.py sha256=1wPrsBaC4ZGDl6DADCOJlS-RG2jUZkNhoO7UJAPupls 3730
notekeras/models/retinanet/layers/__init__.py sha256=Hp8SpvQkBxmioUAhsIbG6lSGj8tZR16rjUDuD6qP948 41
notekeras/models/retinanet/layers/_misc.py sha256=Wvqbj7frh5XAdq8xFCXJ6iG4jljbpQ-uLkUx7MYMiDs 2793
notekeras/models/retinanet/models/__init__.py sha256=mtjETkk3_Bkp0qWE8nrQ1XS3BZHtl1CCGWwZQ1yGytw 6274
notekeras/models/retinanet/models/core.py sha256=W41FHHarrZPfdtxem_LXRYorK2xCi5Kszzbmzg1WN-4 4812
notekeras/models/retinanet/models/densenet.py sha256=e2Bgs4FlelelucUeGym2sCu5wFFj68aUt4FfLzmGjuI 3769
notekeras/models/retinanet/models/effnet.py sha256=HPfXVk2YlBI5KKSw-aEpKtmvH2InC3njywNdLISxRYI 6135
notekeras/models/retinanet/models/mobilenet.py sha256=cqlzbRYb2vfFLr8Py1ktJ_HsPfgsjv2scpfP_Q69CkQ 3854
notekeras/models/retinanet/models/resnet.py sha256=5zUdk8t89tdDr8i1Vtry4uf7CtjmbrtJopfmvdm6eos 6293
notekeras/models/retinanet/models/retinanet.py sha256=wEir_uX_XwJHNcIITuAanvSZdwom-RojdUphPBmBBTw 15560
notekeras/models/retinanet/models/senet.py sha256=k8w5fYSFnQgK-IbW0kh5PHPmDuL1gZikhqheb-YDv60 5835
notekeras/models/retinanet/models/vgg.py sha256=pexiuBEbrhqszgbgqT-skRlB-nSoWRiI9dByrxvmcVc 3239
notekeras/models/retinanet/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/models/retinanet/utils/anchors.py sha256=D29CztbWPJ2HUmrYsMbqhVlIZP6kSO6dJMgj_OieW00 13139
notekeras/models/retinanet/utils/config.py sha256=bDNuzU2oUzFI2gp8HpaosqvgbdQ6_1d6nGEGg8uZuRk 1168
notekeras/models/retinanet/utils/image.py sha256=D_AnkUNi3W07rJavs5LNdkjX0lhUMVTvg11ZkeqzIBM 11028
notekeras/models/retinanet/utils/transform.py sha256=Dvh61i7aeYe_9ad4r-4IPRPW2hEhO1Cr5XoPdCWoKV8 9895
notekeras/models/retinanet/utils/visualization.py sha256=fKS0hcw9E7P8bp1tWvDpJJRbky4WENCrCbXL7CVe4fs 5831
notekeras/models/vgg/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/models/vgg/vgg16.py sha256=8IkNI4bYN8wDI1chZ_j2Pp9bxGuTiSsUgVIRl2BQIdA 8471
notekeras/models/vgg/vgg19.py sha256=tvmIdfin9Z22d56O_A_96Y3bsVQnFXLWWtHZH5oVCA8 8777
notekeras/models/yolo3/README.md sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/models/yolo3/__init__.py sha256=VmNnz911ogDWzSlm1wL6eViXurm4b00YuCE714uWejI 165
notekeras/models/yolo3/core.py sha256=JYhz4h580HM9JPq13Mo4cVB_GPryZfvLKcG4g53HEkc 52853
notekeras/models/yolo4/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/models/yolo4/core/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/models/yolo4/core/backbone.py sha256=NLNRfU7la_Jkx_DDRTS96_qk4b3K1NbmnYij0w9-zQQ 6929
notekeras/models/yolo4/core/common.py sha256=wKLpzxeN2sPb55yFbvsc7rW39r9VdnWrmYa6H8GaZdQ 1116
notekeras/models/yolo4/core/config.py sha256=HVOj2l-2176xseEkl3Y6HG8eVaNLtMPs1vVS-UbvyJU 1471
notekeras/models/yolo4/core/dataset.py sha256=5LiPxWHgiQ7sKxi0lIsGytMZemKW4Sglfy8JTnbj2T8 12046
notekeras/models/yolo4/core/utils.py sha256=4nWXVbUvzaoeiOz7nGkHnizJCutG97PrzwlyUK5Gsyc 12004
notekeras/models/yolo4/core/yolov4.py sha256=slFkCcDm5H8L1QFsakIW1muUi5HhW5UzbAw_h13__FQ 13245
notekeras/ops/__init__.py sha256=5R0FmtRqv431IhoxRgt6Kg3WCK2MCHQLstGTkmQEkTU 19
notekeras/ops/ops.py sha256=4vvSG-oC_90lhY-VbJc_hcmqiQNts7ODy_wmAMBM1DA 34681
notekeras/optimizers/__init__.py sha256=Q0Hqh5_m1yfE7xCIHmIzl0BdXBqSytSKsSVTCcfTwi0 51
notekeras/optimizers/util.py sha256=aBfvw9f7pY7h9Wx1CBHSUE4pkH3X3fLYM8CxBjhCnGU 669
notekeras/optimizers/warmup.py sha256=zwmbm6TMd_4GD8sp2XrGfPndJ15CGdEhTa6ONbxZ8KU 5753
notekeras/optimizers/warmup_v2.py sha256=oe8icY1NSqOAkgDCJ9SYiXMTMTwgvJK3rKsAzd8g4CY 7922
notekeras/preprocessing/__init__.py sha256=qvodU1e64YmMPyEdyiivkJBiw5bpGOr-xnjvWUc1RAE 143
notekeras/preprocessing/iterstrat.py sha256=hOWJl1ufxKpj8FTmo1SXRRmO6aZxHbURxa_NXG_LT_8 16041
notekeras/sample/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/sample/lenet.py sha256=L5z17vY41oISRQrnhCb6hXSoT9rvjSXukFWlu0OXV-g 4363
notekeras/sample/gan/__init__.py sha256=kw-4fuPzaCr8RhS-p0OeWeoc77D3yBOdnpoG1t1B7e0 336
notekeras/sample/gan/core.py sha256=OKtwWyNiORGgajMpBDx4IMyHJg6JoeAR96Dwwifq9yE 95158
notekeras/sample/gan/core.py.v1 sha256=PtAPB7Hb558ZxuxbXZEYLf_ADtoS8Pmgw-9AOgx2SKo 95459
notekeras/utils/__init__.py sha256=F7v8c_9dCHxxyU5F5RyQ8NjMCIbvmB6umotyx2Lu4w0 139
notekeras/utils/core.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/utils/file.py sha256=-Pih-yhrySO0U3x8sRv9YwdXyeb-oGFlMvkEWrcuRDI 288
notekeras/utils/image.py sha256=ldQlQpqyZw7nxXd0EDrDe9Jye99tw0J8SQchApAM0Zc 11853
notekeras/utils/loader.py sha256=OMus4lo0NEe8fnuwyjXhTOZdSjY6HpdzLzGX3BGA8x8 707
notekeras/utils/model.py sha256=5DX7dTGNkbKzSABgm_DX4vyTTWOu8IFDCeth-4tVC14 372
notekeras/utils/util.py sha256=4EiQFMsxr-NSWfQM266ygunW3Ka3gNNy-WNvLQIyFJY 10252
notekeras/utils/utils_retinanet.py sha256=r7OX44IJumT67PVwLRK5XIiM4_Kt7-rqZi9TdPbTxLc 2824
notekeras/visualize/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
notekeras/visualize/visualize.py sha256=57-L8GDz_x630iRPe-vG0Yf_-L_uOGQtJTLcO97m7Sw 10149
funkeras-0.8.12.dist-info/METADATA sha256=50PX7AGV4dyo2ovy32Y1gBs9AB_FRSNQLJC3-9oE1Uk 1648
funkeras-0.8.12.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
funkeras-0.8.12.dist-info/top_level.txt sha256=Kh3oeNcoX5RnQO_84TuikN10rhZH_6DGCWMHtmTWvcs 10
funkeras-0.8.12.dist-info/RECORD — —

top_level.txt

notekeras