tftf

View on PyPIReverse Dependencies (0)

0.0.29 tftf-0.0.29-py3-none-any.whl

Wheel Details

Project: tftf
Version: 0.0.29
Filename: tftf-0.0.29-py3-none-any.whl
Download: [link]
Size: 41371
MD5: 522c44d63d50e012a4ac8a6cc9532d78
SHA256: c2acea6e4a4914ee64bb96314d3495b5cc1aa68aa56b5a85d487b54142cc352f
Uploaded: 2018-09-20 05:18:02 +0000

dist-info

METADATA

Metadata-Version: 2.0
Name: tftf
Version: 0.0.29
Summary: TensorFlow TransFormer
Author: Yusuke Sugomori
Author-Email: me[at]yusugomori.com
Home-Page: https://github.com/yusugomori/tftf
License: Apache 2.0
Keywords: tensorflow keras machine deep learning
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: numpy (>=1.13.3)
Requires-Dist: scikit-learn (>=0.19.1)
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.29.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
tftf/__init__.py sha256=YI3xFK7feGREIEGE6I0oe0y7m89yE27FRedeAI5kzxc 92
tftf/activations/__init__.py sha256=TNul9DG6fYpmjLAWDJGQBt34zMU8_dAyFkm3LyxCNTs 43
tftf/datasets/Dataset.py sha256=uVBnBNdQu3byA0ibGuw6G596y_7W_D4GH7xEzsvQNlc 395
tftf/datasets/__init__.py sha256=21JvQcB4JGCjPdSv4M5jx8kJSJnHD-YZmXFi1WhdxDk 116
tftf/datasets/imdb.py sha256=9U-2zUxA4HZd9qnncUYhWHR8gMAJblZxKI0jiks9k0o 932
tftf/datasets/mnist.py sha256=7YprAwsN35S9vB1dOLLSkp1eJwvQ13Hbv4MC_lCTjpE 949
tftf/datasets/small_parallel_enja.py sha256=2I8BcWjSbPVINX7Bnb3GrGiSLlW15-J3uh8BzBZz0EM 5701
tftf/initializers/__init__.py sha256=u6AFfp2El0J9WmDA2WqweITWx4DX3uFxr87Ih37sMKY 44
tftf/layers/Activation.py sha256=o-amC_BdhQewPSmKY0ZHphebLi0w9hp1XX4u2444WLE 571
tftf/layers/Attention.py sha256=1Tq6bCVMm0hTHmaN2NPiW7-qcMb4tppP6k3TBu_nNYc 3875
tftf/layers/BatchNormalization.py sha256=92HH6tUN2kT2xfLz0UJWx69mHCpZXsgJ2Ka3WW3MvUY 1098
tftf/layers/Conv2D.py sha256=TkL9s4SopMP9JrSMRfuc-Oun4iAPtoW0HwzDcaaSiWc 2679
tftf/layers/Dense.py sha256=3F1c0vMrL3nY2vqC4g3BpsR-YHX1t-kA5-wYPKvmgo0 948
tftf/layers/Dropout.py sha256=NmFyR1ih63M6gkXGZizi1dz_egBEy7mt7LM2GnqcoQ8 571
tftf/layers/Embedding.py sha256=rIJm4zMgeMZXIwJcIO4GvXdshIXFIdmanzn9UO6O3dc 986
tftf/layers/Flatten.py sha256=Onl92-aZIntFN7DuMUC-DBE7lUy6NmzfsJrSAR13rc8 430
tftf/layers/GlobalAveragePooling2D.py sha256=NSpHZ5gd_YqxphmHFC8gyVbYIokW7HrXKUvZtVDk7E4 413
tftf/layers/LSTM.py sha256=uh72qwVcfr3fXm7GDmirUhRT2lmOT0iPmDOkOveI830 7476
tftf/layers/Layer.py sha256=Vvn7774k_k4Dv3oUOdB9hLg_XdreUJzdTKE8qLNkpJs 4096
tftf/layers/LayerNormalization.py sha256=81tXRcPxLwrIRJ2y7qKp5iQ8XuILLCXPUL2EHxvvyqM 1011
tftf/layers/MaxPooling2D.py sha256=lqXXdr59ZvnHWtE2tSGIdllNgQbYGooVOTtDgGmz6Ws 2017
tftf/layers/NAC.py sha256=onArdYLtl1qIB0cqjXCMjsdxE1P5TjAGXG2FY40zcPg 1070
tftf/layers/NALU.py sha256=daJw6Ghk36FJ9DcijBSU8vOe8IPEdDBshaSpYaebqWw 1036
tftf/layers/PositionalEncoding.py sha256=PkJ0RVwMMuI7plTJTZniZQkh9pxhsm3WyF5yKH_1eD8 1136
tftf/layers/RNN.py sha256=F9YgKTWiIaXcAucBMU1YovXeP-djU41TEIsPtr8ofkc 3969
tftf/layers/TimeDistributedDense.py sha256=2_jDsgYcUzpKpAfBxxUITI-x4wJclWyooISHIKllFK0 771
tftf/layers/__init__.py sha256=2VSl7JWdUpSKQ6urDhuAS6maKM8roqBRE1RVXwLxPVo 711
tftf/layers/activations/__init__.py sha256=7gIk34xaKEZEyVs1JTsqQ05KNsyKIQ4U2G_VJEUJWs0 301
tftf/layers/activations/elu.py sha256=Ku3WRj-dn9EFOmgk18F7SCEF9j_vs2pu6bK6mHb3fIs 62
tftf/layers/activations/hard_sigmoid.py sha256=u1j3qC5QP5dnfV0NzkZ2leLUom646ibMKpkH5cYRXu4 106
tftf/layers/activations/leaky_relu.py sha256=-HdC7xfpDWUkCur_TCWyXcoFdzWv-GpbEqjgwAxlbCc 100
tftf/layers/activations/linear.py sha256=aRtWYoKkLYgWUduyBG0d_IYIiaBe3XXyt1oVC_LUTIU 28
tftf/layers/activations/prelu.py sha256=3u8cXOlciRbYv5gtMQ1qLLHMN27kkS6uOzovdiS4JfU 238
tftf/layers/activations/relu.py sha256=Xc8OBaN3lYU6u4_GsGnN24jmZpuhIj6hzN8mywkEJU4 64
tftf/layers/activations/selu.py sha256=8R8dPOU_QXto0ysI3Tv0ouVypRXgpsTz_q6TIgoMc-M 64
tftf/layers/activations/sigmoid.py sha256=xWr8ab7653WCo-sG2ErgB55SZstVGscmtPEb2BchKH0 70
tftf/layers/activations/softmax.py sha256=7yGtsIHxq5ycudKANV-MZ3EhvDMPypRMQDvlp2x6wbU 70
tftf/layers/activations/swish.py sha256=3LIPTHDk-2yQ3Ca-OvltPhivbGjBXoCiHqn4dgpDgLY 95
tftf/layers/activations/tanh.py sha256=3B1c1jvI5Aj2cmvBzhlkmSqM9M7sivWFul_777fBE50 64
tftf/layers/initializers/__init__.py sha256=mNgxNFVSyNBZjgeGnjslzGDGNdfv6K600SmfVE5OBS4 194
tftf/layers/initializers/glorot_normal.py sha256=QYtXpVpehnV-8v6aifx7rW0A-i8mzzrzyBpGQulQDVE 448
tftf/layers/initializers/glorot_uniform.py sha256=aUPl9SfsyjZBEQUk1L634Dnsc7jQi6Ha7Bp2GBwaw9I 614
tftf/layers/initializers/normal.py sha256=M7M7xLTvdPpyuMp234kYt81fcqMSTfaWEuv3sZrLiDs 270
tftf/layers/initializers/ones.py sha256=8AvC5FMa832AYtSN1ME_aq2PALK2_AgbAj8Q9hHcWRY 168
tftf/layers/initializers/orthogonal.py sha256=SbA56-89FzDR7cx6hdi_r0Yv86SQ7N3yGeYDbu_7VFg 350
tftf/layers/initializers/zeros.py sha256=yasNXy0-TirktMW3IdXPJO83pwE6jtAro-wvVa-kXdE 170
tftf/layers/modules/Module.py sha256=n3QmyKSTga9GTzlpo7aQ7DzsvXSQsbYSz2jD04j0u6U 31
tftf/layers/modules/ResNet.py sha256=m_5_Q_TOSfi_-5I5xixah-RNYX-u91uuwq8RJmXUTEI 3236
tftf/layers/modules/Transformer.py sha256=FwdOpGXe11xx6bWWv2BNWqEQia1NeztP0ApNcBWOqBE 11444
tftf/layers/modules/__init__.py sha256=Q6Xqy48J0Sx1HCIyn3aYm9e6UwybO5HMfTtZdjSE5xg 91
tftf/layers/regularizers/__init__.py sha256=RRcN6TvbUqo-4ZMbB119RHm7310Ma5SaNDtyr5JDpJ4 63
tftf/layers/regularizers/l1.py sha256=qJIweKr3-UwLmLXQohol1n_G9CJLCItlORLt9CTnhzE 251
tftf/layers/regularizers/l1_l2.py sha256=V-NkQq-HLKNANArtWvkomq7dAZC-B5ocXHphhjAE_gM 329
tftf/layers/regularizers/l2.py sha256=v6eFgdZNR43YzvATQz_AcxmeODr2TgGQtsc8--YNz6U 243
tftf/losses/__init__.py sha256=Sd7CTVdCmdVvWpgDCXnb1DjlgQRV_F6UZHCsFs0LZiw 38
tftf/metrics/__init__.py sha256=OBKhgQ4QFiMLTm5n6ydYIx0bbbTNczUH4HXeGzm5E5Y 39
tftf/models/Model.py sha256=7tNrIW8rKXczruNhfzudS9erBCV6j9p6bsckDdggH4s 10670
tftf/models/__init__.py sha256=pT_-9C_yDFIalRjCCWUZ58oxv21aU3Q6ZJ_6ckWIM1s 25
tftf/models/callbacks/EarlyStopping.py sha256=zRV2-9xwXOSatEMivG9j-ng3JDBkc0aEzHTcVobnjuU 565
tftf/models/callbacks/__init__.py sha256=EmiPqOC5mP8Ci5QJ9YcwvQa7TbkUDHLZKp07Qfe9yhE 41
tftf/models/losses/__init__.py sha256=gjYly6XtTqcETYhWxwu-JwZyV-B3K85vtU8HE8jW_OE 167
tftf/models/losses/binary_crossentropy.py sha256=ejCxoQ_GBOlAp8s_Q24nMbyx4h9xlrJCIJXEnXoJ5y0 359
tftf/models/losses/categorical_crossentropy.py sha256=oSjzaRzjfvYg2fIs3T-8iCWUdFr0qcd4IPA9jldFi4s 264
tftf/models/losses/mean_squared_error.py sha256=5XBOoAGgc4_tUYKLpPN6DcDeU2L3gfBdVPz10AessUY 116
tftf/models/metrics/__init__.py sha256=YBVcow-R6ICIwnZrx1Aci7TmGJjS56RFG1Rg-WiyjuM 110
tftf/models/metrics/accuracy.py sha256=ZTjH2bVbe5DjVrMnROzgA53ubP8l_DexPLomdr3qd0g 313
tftf/models/metrics/f1.py sha256=jbNgIVm14GdkFZSf-YX4qT4EeO4hPYPxqG-mFiyDxkQ 324
tftf/models/metrics/precision.py sha256=GSpUPqAHZT-rqg7GGdcQ59wqQq-SuC3iOorlaJ26CS4 366
tftf/models/metrics/recall.py sha256=yyj6vPfQkJzMKRKrjIXrK61IBo-S6-E-DfN-TifXpy8 348
tftf/models/optimizers/__init__.py sha256=c8wEh1AhQTeLlK7YfKiABsGfaxVqPhCCbOVuEfyFyyI 164
tftf/models/optimizers/adadelta.py sha256=QydIO8CPPMPG_ckV4LKjag_YudaWFiutHDFrdKRkoAQ 105
tftf/models/optimizers/adagrad.py sha256=KxFQFLD5q9hqfasL4fcWbScy1-eEZV_xdFxfvmjMRVg 89
tftf/models/optimizers/adam.py sha256=Pl4LyMEg9v9qeHmlpd6x_IDhWUmbo44OfJRiZPrQp54 137
tftf/models/optimizers/momentum.py sha256=RPLSpMwecuhe7yLKu3J06BSHAYSN1z2LtyXL5HIhGsE 148
tftf/models/optimizers/rmsprop.py sha256=4_KPVyYOkIFHnZ0EHIFo5XbjhdBiUEhuJtgTUCTxspE 90
tftf/models/optimizers/sgd.py sha256=ocxGGHSnp7N_AXrbHo1PGW5X1HbUVf2BflETuAqVHoQ 93
tftf/optimizers/__init__.py sha256=bugWXhGkfqnNIuikPwh8GOQURGNm0P-AN42PKGBjgYI 42
tftf/preprocessing/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tftf/preprocessing/sequence/Pad.py sha256=D47Hzm7ETr6Tafp9Tao7hhRwHsqm0wSbqzaoGB2wiyM 332
tftf/preprocessing/sequence/__init__.py sha256=httpq9rQIAW1EiHFc5Z6Ja96pjtMoMGOv7VN81QfUMw 86
tftf/preprocessing/sequence/pad_sequences.py sha256=PyfnCbezAr5KwxxQR575FsYCwutPWTrypWZDcQzEhBA 745
tftf/preprocessing/sequence/sort.py sha256=hk4YplDD0AgEPXMOP6w-K-ujhpKEfpfCQ3QHzKNRZRA 511
tftf-0.0.29.dist-info/DESCRIPTION.rst sha256=OCTuuN6LcWulhHS3d5rfjdsQtW22n7HENFRh6jC6ego 10
tftf-0.0.29.dist-info/METADATA sha256=vxDjSEjrVYMxOclGbwxw9N9HaI8BetjUTbE3CDtxN2k 1172
tftf-0.0.29.dist-info/RECORD
tftf-0.0.29.dist-info/WHEEL sha256=rNo05PbNqwnXiIHFsYm0m22u4Zm6YJtugFG2THx4w3g 92
tftf-0.0.29.dist-info/metadata.json sha256=Itb_yKC9d8LevGqbZ-1_CL2sj2j8Vl8jPyB4ZGX9lFQ 1278
tftf-0.0.29.dist-info/top_level.txt sha256=KkPrzw7NaT794Cb3Hjsif9z4I8Zv0hgA2cKEAlglZfQ 5

top_level.txt

tftf