keras-fsl

View on PyPIReverse Dependencies (0)

0.2.0 keras_fsl-0.2.0-py3-none-any.whl

Wheel Details

Project: keras-fsl
Version: 0.2.0
Filename: keras_fsl-0.2.0-py3-none-any.whl
Download: [link]
Size: 45156
MD5: 9adc208ef84b7400bd614bcbdc3c04df
SHA256: eab90f513f26ee1ff87069bc54980b083d8c644f63e9b9f538533564329285ff
Uploaded: 2020-06-04 09:37:13 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: keras-fsl
Version: 0.2.0
Summary: Model builders for some State-of-the-Art architectures in few-shot and contrastive learning
Author: Clément Walter
Author-Email: clement0walter[at]gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6.5,<4.0.0
Requires-Dist: tensorflow (<3.0.0,>=2.1.0)
Requires-Dist: tensorflow-datasets (<4.0.0,>=3.1.0)
Requires-Dist: tqdm (<5.0.0,>=4.42.0)
[No description]

WHEEL

Wheel-Version: 1.0
Generator: poetry 1.0.5
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
keras_fsl/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras_fsl/callbacks/__init__.py sha256=4Kb8TMODDl4AIHqgTvzglX5fio6WXODz_5YOD7E1UCs 167
keras_fsl/callbacks/binary_statistics.py sha256=GwGnAQZ-igOEBUNbefp1CWOr7ck6Vidzo9ZCBcWyxn0 1169
keras_fsl/callbacks/tensorboard_save_figures.py sha256=b3ZPEKS2F7-2NYILc114UkuZhyIunG5Bl1_xIQq4UjY 1198
keras_fsl/dataframe/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras_fsl/dataframe/operators/__init__.py sha256=YMVSczisSDSHVYiP9LxD89RGvcrVR9KuSE3NXmG_BDg 220
keras_fsl/dataframe/operators/abstract_operator.py sha256=a-C0ZmQpK1zvaKle_ESa6LTdJi3vu1s2DcGcpcgO5f4 228
keras_fsl/dataframe/operators/naive_max_proba.py sha256=ose2vRmREB-86IoWAljviqT2-siJVCW0E7uB_Xx9BdY 2022
keras_fsl/dataframe/operators/random_assignment.py sha256=hgRp4gqtyxhaYpKB_mZciycpjblo1g9PM2-tVTCbfAk 785
keras_fsl/dataframe/operators/to_k_shot_dataset.py sha256=pGK1YzukA_3ndTyISezttawdp9mUAlU4avykc0rAZJk 5460
keras_fsl/imgaug/sequentials/__init__.py sha256=ZOvPrDWZzwEp9gEPhsRfMiDNKDc7nuR1_GysAq639CE 44
keras_fsl/imgaug/sequentials/yolo.py sha256=RDW-oOUKG6bvBziLAoAHmbSsk3bH_6ERp1N0Os6wC5Q 721
keras_fsl/layers/__init__.py sha256=fiQjxwyiaDJR5Y03WoZQG0zJSm82-GOCF4nVWtg1TL4 245
keras_fsl/layers/centroids_matrix.py sha256=yt28kaaMIqogImcFkc9yTsbQFPxtno2qNIrfE2FNBBE 1441
keras_fsl/layers/classification.py sha256=qVjGqUTGY8k18IF3kKMK4W0Iw6JfByQ6nn28-4i2oo8 5216
keras_fsl/layers/gram_matrix.py sha256=xeg1wm6IrMtjbTr_ml3G9NlBb9YswzklMXmck3XRo-8 341
keras_fsl/layers/slicing.py sha256=KQboszEREqjDNWCFCOVAs_5Z0o-el0hYkSgaWKy6lU8 319
keras_fsl/layers/support_layer.py sha256=0IQi11s1oUU48ryqtoUH8rT_r5weSDy5Mx-VCmeZNnI 2162
keras_fsl/layers/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras_fsl/layers/tests/centroids_matrix_test.py sha256=GAs5keEWvmbPrAB3imje7m7i09v3r7tlgGjAcG3Ysz4 2037
keras_fsl/layers/tests/gram_matrix_test.py sha256=NoC4Xbu78mnrGn4GUF1caYPV3i6e7YXmVQv5y46eE58 352
keras_fsl/losses/__init__.py sha256=jHbCh_-LL3lxGCgKNoLBwKfPSOxfaDfupvnJq2LtKaw 42
keras_fsl/losses/gram_matrix_losses.py sha256=zsYRF1RYDkHbsbDo3-Ni2-o74G-gPLghDctN_zVT4_U 6793
keras_fsl/losses/tests/gram_matrix_losses_test.py sha256=rWQnCUAeqXBQ6e1LwxO7f-OLkFvNq8RcThYDfwEu7j4 5508
keras_fsl/metrics/__init__.py sha256=NlmlmbnLk8n6vqgp6EUx_aL3V-HMsPZQfJbv68Vozqo 43
keras_fsl/metrics/gram_matrix_metrics.py sha256=bc8jj7s2SFcWAZA2LOVrG5bAcy-p_GLiOjnmJe6Tcgo 3088
keras_fsl/metrics/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras_fsl/metrics/tests/gram_matrix_metrics_test.py sha256=rfprnqr2Ib4SNRRpA0JnZ79yV2OQru5bVGjiq4BkM6I 793
keras_fsl/models/__init__.py sha256=ehvO-Xu7-e6KSfj648zpGjQ6qvegYpj2PvjCdSpBJ1A 65
keras_fsl/models/encoders/__init__.py sha256=NCP8TIrR0K6aHuBBJAheg8R_wK35HaQlBKyzNPksIFU 271
keras_fsl/models/encoders/basic_cnn.py sha256=XHnYhVWlkXhQf4U01eFFxPGvfpWyoHgf4BF71iD0IQY 644
keras_fsl/models/encoders/darknet.py sha256=E4RE4mN_klqtdLNiPH1y6m35AlNT2Q2kzwm5T7pz8tQ 2366
keras_fsl/models/encoders/koch_net.py sha256=0_ADWsxWZec-2Q_6zPokLSAfve06-HAlO7MbtlhYr3A 1213
keras_fsl/models/encoders/single_conv_2d.py sha256=-713XCJv3BTtSXgq-eDwisN36_XMo1qmelTZH0yAF7Y 392
keras_fsl/models/encoders/vinyals_net.py sha256=KRodzb2J-r3nsrO0huUXxq9SUQT-k-OCUy5-eEcL_Zk 873
keras_fsl/models/head_models/__init__.py sha256=ruMp7xW-HV32-_NXVHNp3ppsbQ5XUAKlE3939vwv0ms 171
keras_fsl/models/head_models/dense_sigmoid.py sha256=hN-8BYg643nx4Bdi_eLCEu3JRAwQb5C_RZfyFls_sco 656
keras_fsl/models/head_models/learnt_norms.py sha256=1zklZIyaqP75NU1N55Z0btA05lpAmS2-Wd61AAwmCEc 1390
keras_fsl/models/head_models/mixed_norms.py sha256=kgcuVXZfk-Imo170Xj-VHXdBkZkkmqDdWNZGCl5vDys 1921
keras_fsl/models/head_models/tests/learnt_norms_test.py sha256=QEb8bFnFZcXrv5xIH0hgDFmuUjQhbgZGhaki91sT-Jo 1210
keras_fsl/models/siamese_nets.py sha256=tfg02ZW14aGpH_1cghb60RKMvOmjIMcNLZNxEsptULU 1336
keras_fsl/sequences/abstract_sequence.py sha256=nS0Bd9Pn_SuHRcmkH8z43-vNfSMv_6xWLs8leGPkxZI 1893
keras_fsl/sequences/prediction/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras_fsl/sequences/prediction/pairs/__init__.py sha256=VseyerURBlrZQ2SXZ22bpZUGyK0xD8skxR5rf8tBCdg 77
keras_fsl/sequences/prediction/pairs/product_sequence.py sha256=q7h8nrHfj5gfvW_1NMWPXMN2lwgPXc9Xh2G91qpwysk 1848
keras_fsl/sequences/prediction/single/__init__.py sha256=9VoZjl6TMjvbMslf_yXgvotGKZFJF-quQjlM2KaqEVY 95
keras_fsl/sequences/prediction/single/deterministic_sequence.py sha256=K4u8pM372eGXNh1NVVrn1A2H2DdLZBLPwU0VVRoo7VI 532
keras_fsl/sequences/training/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras_fsl/sequences/training/pairs/__init__.py sha256=Bf5KmdObfuD1QVg0tLIG3HCPcf1n_irvl9c_Q-ohOLg 380
keras_fsl/sequences/training/pairs/abstract_detector_pairs_sequence.py sha256=NbhMFdW3SYn0OtkC55DKZgrv8SXc9WkqUyhKdDhKhvc 2337
keras_fsl/sequences/training/pairs/abstract_pairs_sequence.py sha256=CZsXYavEDUBuOGopN0YfCiDsHKtMi2QRgt_T1AnZlE0 1646
keras_fsl/sequences/training/pairs/balanced_pairs_sequence.py sha256=sVC17G8KadFfw24TdG6Vxw6g9NBJYTiTTD3Cp-vpm7E 2068
keras_fsl/sequences/training/pairs/random_balanced_pairs_sequence.py sha256=vOh_P5NY9kJzofpDlvkAW91FFYFac17LBZABO7A7ljk 973
keras_fsl/sequences/training/pairs/random_pairs_sequence.py sha256=BCwlAcQpdpUbnmawh3AmuxlXV-MHHHBKKYPgErJX5-o 503
keras_fsl/sequences/training/pairs/random_product_sequence.py sha256=Ao1FOPwtCfFeRmbvHEtGAkOCtqKO3IN9WWl0fiexpxM 1666
keras_fsl/sequences/training/single/__init__.py sha256=YpWXTePLSTuANDzBg654Qp--J0XFkg2T-wTVBmD4QwI 180
keras_fsl/sequences/training/single/deterministic_sequence.py sha256=fLmTNueB4lO1ScGZ6dwW1OMSbatPDRxhRys-roIIKpo 2380
keras_fsl/sequences/training/single/k_shot_n_way_sequence.py sha256=VrF4MFmH7GvJccGt8ZFybg_O_AezHePftM65_Qt0L7k 2804
keras_fsl/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras_fsl/utils/image_preprocessing.py sha256=UeB4t4itJqMGxn6Uu23-sRBvAYWdrtqCgls7R4R7J5M 1327
keras_fsl/utils/tensors.py sha256=zjAvfTgVWBtOAFw_7i6Rn0XznV-4crv7Vdgz_cv7oX8 439
keras_fsl/utils/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras_fsl/utils/tests/conftest.py sha256=5xSx_IljF5RjnlKIBUA0jYg98VxA5-AHxelZ0nbhyZI 1008
keras_fsl/utils/tests/tensors_test.py sha256=qgj8effe5MoD7-kNofoQs7OyrqUUwPrsRM_ZvWw6JP4 743
keras_fsl/utils/tests/tfrecord_utils_test.py sha256=k4jA7-uUH1OUWgSNz_VuGjs1uiEh0h2I_BP5XfO4vKU 5100
keras_fsl/utils/tfrecord_utils.py sha256=h9hF7g1kndJZ__P2geTAjGKFyPMRkBdcz-EmtKE9okw 3607
keras_fsl/utils/training.py sha256=xz0BIT52CtZyXqJQViI7E1BGNG9ktb5HQTfOh371_dc 1837
keras_fsl/utils/types.py sha256=eBF-ph_HzQnsPcsB9UbWtdqpueH_Py-DT4k3-pS2kKg 183
keras_fsl-0.2.0.dist-info/WHEEL sha256=xSvaL1DM8LOHfdyo0cCcwjZu1tC6CnCsRGWUgazvlbM 83
keras_fsl-0.2.0.dist-info/METADATA sha256=2uv70Btdnfn3FXnMxwjxODSbIiKKzFPrepwj6lBNtRo 530
keras_fsl-0.2.0.dist-info/RECORD