labml_nn/__init__.py,sha256=6UlQrEufTZAXtSZ1qq5ZEI7ooZLPSEclws_VcoKW1bw,4178
labml_nn/activations/__init__.py,sha256=fJ1Z9U46tu7bxTtvnMDsvorPfLPyCJ9Ti2ZMnncrPtY,25
labml_nn/activations/swish.py,sha256=yV5i0TF6uQv27mycEUUWSvv_fokoRhx93WsQxZz98aA,277
labml_nn/capsule_networks/__init__.py,sha256=m5qfr5I6ZniUPMFfpt--HF-naROwv7UzkBW6qx-cVfA,7602
labml_nn/capsule_networks/mnist.py,sha256=EZhhDFiyWWWYxQSiNS70aJx7vsZUAx_NOf9e44_fQ-8,6499
labml_nn/cfr/__init__.py,sha256=DssBX8-cuFmOcX4thEeX8dzETQz5LX0B2hRaGmnKwNs,26740
labml_nn/cfr/analytics.py,sha256=YUEC9fQZi_4Ae6fV1oddTcsfGz__W2UqzF8s9QfaLNQ,1894
labml_nn/cfr/infoset_saver.py,sha256=qiOv3ItEGlovd-H35WTFfg0snwDHCpprpniPJWL4KVo,814
labml_nn/cfr/kuhn/__init__.py,sha256=N6Dxbli_skkk6Y8oda3D89zqx8PteGDNzrhnoEQBbVg,8138
labml_nn/distillation/__init__.py,sha256=MouwDZp4DBJ7Peh3Gby2t7l5XQzFJrdxsFE0lFHjVjg,8572
labml_nn/distillation/large.py,sha256=ZZTGKmL-V0qMVupgqmSInc-fKiHcCrnXIlytJCe_sB8,2558
labml_nn/distillation/small.py,sha256=kd2Y7bGHY4syDF62MkH3gzqxUVTrFgjBkkxfadlUozo,2498
labml_nn/experiments/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
labml_nn/experiments/cifar10.py,sha256=B88mF8WYwJ_gSMZWSAoc_TqazLifbhBsweKs6E4HwfM,3522
labml_nn/experiments/mnist.py,sha256=279AKfZpCs40BqatYzYdKfz-HTypPSEk_3Lxlycz8hY,3383
labml_nn/experiments/nlp_autoregression.py,sha256=LK7WA-D44rSCf_1YkVexHKJy1zcYIpoMIx4hM2zm_-4,9191
labml_nn/experiments/nlp_classification.py,sha256=S99sNP2m_S6r4QRQc8KAagulA2YgYc7f8uwilriLEv4,8618
labml_nn/gan/__init__.py,sha256=_zHCoJ6xLmwCf1s3EwS1DsP7_fGhorW87UGYN2sQ-wQ,449
labml_nn/gan/cycle_gan/__init__.py,sha256=6wZbza5gcaP_kcolQtiQbKAV4F4zquHsDvAGgAGfBvs,28903
labml_nn/gan/dcgan/__init__.py,sha256=tNO4d5PPa4EsGYz9SK9icSlUc-siYVIuuSw4JTW0Uqk,3894
labml_nn/gan/original/__init__.py,sha256=uFIFDcTggVXiw6YHm9cdtVmn_B5S2d77oY2k8_qnkuU,4927
labml_nn/gan/original/experiment.py,sha256=mPqZqA0YKfCq0aBCftQw6cpySqtDTGHnaHOfykxvMQs,7964
labml_nn/gan/stylegan/__init__.py,sha256=dM5HnXETw4KZxc1b02kLLpS11zykTnDrfwCVAHlj2Rs,36584
labml_nn/gan/stylegan/experiment.py,sha256=p-V1QoTqE3Lweap1Wk9pYDfhDqcMfLGSir94MnZI3RE,17574
labml_nn/gan/wasserstein/__init__.py,sha256=2qhtLTTxsQe88Kbyu0FcLVHySlPKBInC06WQ_hLoEvg,4660
labml_nn/gan/wasserstein/experiment.py,sha256=qyGk4h9PO6jxgCwDLbrq4Vdf7t6Kt45KjY6etS9S5h0,1352
labml_nn/gan/wasserstein/gradient_penalty/__init__.py,sha256=0vXpbporLxppnOtq5N91Qn3zLqvlNTnsp_SLn7Lsn1Q,2822
labml_nn/gan/wasserstein/gradient_penalty/experiment.py,sha256=zisuNEam5JHYRdB3iPS0-b7jjP27Yy83G4XtLzFXxPc,2780
labml_nn/graphs/__init__.py,sha256=cHrC11IxrlOHt8BmY_BSIVo_2cGRNkDvOXfpeAzLQpc,210
labml_nn/graphs/gat/__init__.py,sha256=yGSINGuU-njLNBnC0XLDlwaVMAFJ_x4UtdIt5te8ftM,9047
labml_nn/graphs/gat/experiment.py,sha256=w-9qiZFpPNwcBxYFJqiyFvSZUwH66Wg745NCg3yX8Xw,10666
labml_nn/hypernetworks/__init__.py,sha256=XplC7lJIixwssdkgp6Ij4Z3ciTsjfSj0HLuucri7Ve8,160
labml_nn/hypernetworks/experiment.py,sha256=I8rNDmcKTTy8o70Q0R0bF4DaNAgW1fPu2fs0tgVR_NM,2825
labml_nn/hypernetworks/hyper_lstm.py,sha256=esXvBssrcIf7mTT5vKqvq7HVDI0QCkO3A8GhodWZk_w,11635
labml_nn/lstm/__init__.py,sha256=jBdXsuCgOPE6Tz5VHpvNyG9mX5TvGfAUrH0veEjG-Ss,5993
labml_nn/normalization/__init__.py,sha256=hdDIF0ZiLAbz496ZQRnQjkMuM5mxzKkB_sLrByQRxvk,468
labml_nn/normalization/batch_channel_norm/__init__.py,sha256=EaU07CP1_lvV58NuokgXV69VKpct4WMWRcOO1qg-UsU,10047
labml_nn/normalization/batch_norm/__init__.py,sha256=72igTgECFY9VIc2xsZGOekplQuAsXRB-f-kHQOeJMg0,9671
labml_nn/normalization/batch_norm/cifar10.py,sha256=8CschuXNIm9z81RRxk0Sfi9n1FbUi66DSnPcz8PG67c,1629
labml_nn/normalization/batch_norm/mnist.py,sha256=sN1p4-MgONUxV-RFjCgqTJOFWB_lBDld0xXq96HeFik,2425
labml_nn/normalization/group_norm/__init__.py,sha256=nswBJdY_3M7ZuKgpf_rb0t2rM1LVOGaL9nIT6l1A5Kg,6451
labml_nn/normalization/group_norm/experiment.py,sha256=d4_9wUxjtofinKn27HRs8hBQvJjj53fSm0n_DV6xTug,2308
labml_nn/normalization/instance_norm/__init__.py,sha256=iCiKvgoz_NOvMBjuqJoMCWvmTRA2FB0XxulBVy9m3X0,4232
labml_nn/normalization/instance_norm/experiment.py,sha256=pwRADtpGPMFKFreaMFe-2xZkWL1f3K305ilhEfVIXQ4,1824
labml_nn/normalization/layer_norm/__init__.py,sha256=EkngfuuzvGEZQi4O3Nacoh218wlvUSm8pS_k2v2bWd4,5224
labml_nn/normalization/weight_standardization/__init__.py,sha256=aWpEzhAfUJ_zGhymY2obQ1oQlm9huJsaRqbAJVx89M8,3780
labml_nn/normalization/weight_standardization/conv2d.py,sha256=VfdRW3yfr0gWwnCsVGzpmL8A8k-2pnTO93BFKXXgwdE,1879
labml_nn/normalization/weight_standardization/experiment.py,sha256=LZlql_rOsKCzsVbZUFcTX48s8G8MkgU4y_r2ryNnnrc,1818
labml_nn/optimizers/__init__.py,sha256=tapbSzGurEqqHpB8wl_GpFeM3myVvxuCARCPY3mVWHg,8120
labml_nn/optimizers/ada_belief.py,sha256=r7syKk75jXtRIvkY4rgc62XPY4Ewl2kZawNdtkI-eU8,6777
labml_nn/optimizers/adam.py,sha256=JUiBrXGL-6Q4F-0OfVK4nJ0mJ3d9bA2bcnhj6ZvhpKc,8609
labml_nn/optimizers/adam_warmup.py,sha256=AZ_8ke8iwrly1f_1QnF-KRP3azyxA-IeFN3qlRSkt80,2301
labml_nn/optimizers/adam_warmup_cosine_decay.py,sha256=Pc87zpX7bEwwQKx7raGVn4AvGdCxXwoRs1ZFKvPpy9s,3679
labml_nn/optimizers/amsgrad.py,sha256=KgGfHRzTzIoYJ2zJh7J3rCJ9pRurvb4VpYTnZzddrOQ,8028
labml_nn/optimizers/configs.py,sha256=LV3czAjUsNFh5e41Tcsnv4Ze8xz2nZwSfzZEA8GProw,4805
labml_nn/optimizers/mnist_experiment.py,sha256=vd1OhjP75OVOtip9HBdBk-SBb3ZwWf4mfEbxaeKickI,4063
labml_nn/optimizers/noam.py,sha256=M5dqMkko_zvbBzFhk96LMlG-mGJx0uTs2oZ_rpxXH_w,3380
labml_nn/optimizers/performance_test.py,sha256=llDNmoaBDf_6lXnDtWmq4ljVjQ6HwKXtYnN1mMDkSk8,1608
labml_nn/optimizers/radam.py,sha256=V_AefS1QwL9cXvxXhawDrat8wSGUKBoDngHgHVEMWx4,11246
labml_nn/recurrent_highway_networks/__init__.py,sha256=NBqk_m2xn3LHqzslM1ZoVMYFdCtdfl_RPBwiRXHkZPE,5688
labml_nn/resnet/__init__.py,sha256=CSgggdj_YVpYhYClS4kjYRq0yR8vs5TGLmmP3aE2v90,13477
labml_nn/resnet/experiment.py,sha256=Plbh2fBWSkCmSyKhm3IWjmxWjIrWtR4YQ38un7SH6Fg,2238
labml_nn/rl/__init__.py,sha256=Pr6BPgyAqF8gevMmdQVqLSaxGc3FHWPQVMgwtE5GKJk,826
labml_nn/rl/game.py,sha256=E2UyOzNpG6V9rBAAkPbfRiNa4U6IxXlWdr-xgwXYnTk,4657
labml_nn/rl/dqn/__init__.py,sha256=7wg_rDQEDYMovmwA0LNEM3jgR_glGWYJqbgcn1_zVQs,6294
labml_nn/rl/dqn/experiment.py,sha256=9MWXkVKJraiMds7-2vxAOVxGyer88w_U22-GoniklRM,9352
labml_nn/rl/dqn/model.py,sha256=xFxhA0kcnmrpN-SrCVT8xvhjqS_nxfTU6t5CgOkNmqo,3281
labml_nn/rl/dqn/replay_buffer.py,sha256=Aesxs-xsodrFCT6DVVby3HbUI5RA-WpYzV5EFrQoP10,9787
labml_nn/rl/ppo/__init__.py,sha256=2NdqHkHl1QOP7wGwpoZPsNHw0oMiqiJWNAY7ar8Ak4M,7536
labml_nn/rl/ppo/experiment.py,sha256=V1DAFTi1JXoGJOkV7PMCqemaELW8R_l4L5tgABCl8XA,15285
labml_nn/rl/ppo/gae.py,sha256=I12DZD3tZikskyR0Y0XiR54JLEbcg4WnkW6AhHcheIQ,3032
labml_nn/sketch_rnn/__init__.py,sha256=orczGz7bcJULkre6G6BWfrP5iKeifvUB7nkvbwY07nU,25112
labml_nn/transformers/__init__.py,sha256=2TdocrUhZKNfBVFOWEJ8-u5Jd_pNDJmAWBRvEGiN-VQ,3550
labml_nn/transformers/configs.py,sha256=2XTBTACENOeyCO9rI_dpS_svjLIsdqhQyTGu7pJbs_s,10324
labml_nn/transformers/feed_forward.py,sha256=VEhMOE0xdOZSoyEGwmVMeI_f0kpBbcJCJ4DKOfmjY-k,3582
labml_nn/transformers/label_smoothing_loss.py,sha256=QP9LzSw0u8vTpuzEq7sXxxE3o_amFTR64zC-XMWWNzE,2210
labml_nn/transformers/mha.py,sha256=a4_LIWsXnjIlEteHg0AKDobhmox4z0Mx772KRkcoYsA,6881
labml_nn/transformers/models.py,sha256=DJT-BeE55nIG7FpwOwR05Ao-K_g3QmCJ3vFie7hIMIc,8002
labml_nn/transformers/positional_encoding.py,sha256=EFJSgknl6OOyO1aP99tDA83Qb2UevVHAj3HiVIVmqM8,2327
labml_nn/transformers/relative_mha.py,sha256=16WrdIGm5vuac79saVwwHyh99bZeA7u1CQ3OQpFhCNA,187
labml_nn/transformers/utils.py,sha256=jTBgaH7Y2vYg1bZpJX68yXXYiDLg3rAFZedZl47eFqI,538
labml_nn/transformers/aft/__init__.py,sha256=L0VuocJsNlG5W5OFlqCO5HiaRZfzwuo2hqrWfzZu4FE,8600
labml_nn/transformers/aft/experiment.py,sha256=AbnZlBR-wDxfrmL2EcTWP8U3OV6ZWKEzGDtAVndg5EU,4988
labml_nn/transformers/basic/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
labml_nn/transformers/basic/autoregressive_experiment.py,sha256=4xYNpdDkOmtBXtQZrPsiTDZ2mDbgLQExxs9fFYmU2oY,4430
labml_nn/transformers/compressive/__init__.py,sha256=EbEE6pzZZsJZNg53J1xViG5ABj9-QfQ493iJVq8O2BM,13740
labml_nn/transformers/compressive/experiment.py,sha256=u4j4LfpWFtZocaQXpZenFwI8RtA6_IoYA5b3MxhlgNc,13020
labml_nn/transformers/fast_weights/__init__.py,sha256=IOnoHmY7NX91fDHScQfX8q5mo6NzGWlyGNK-i7kAKn4,12990
labml_nn/transformers/fast_weights/experiment.py,sha256=sYlYDkJpQYBdiZ36NHKFiY5WyTvOeah7ySnfP7wnxU0,3832
labml_nn/transformers/fast_weights/token_wise.py,sha256=AcLnFOZSLqQM4QYZzda11dWavHRrrr64Iqbuu5E8NeM,4216
labml_nn/transformers/feedback/__init__.py,sha256=ZItHUTsnRaGe43IFqxIsMqKKER3PFEKWF31C-sq-x3g,19846
labml_nn/transformers/feedback/experiment.py,sha256=R9ymjEqmXCElYhrFEjSv1OwHTERr_aewXwxen6YLaAU,4885
labml_nn/transformers/fnet/__init__.py,sha256=Jd0YD1xO2UCanR_vLl6GXmqp8GWAfF1XpH4iG3fJBJ4,3492
labml_nn/transformers/fnet/experiment.py,sha256=73tdQrbWqtssGEhAo62RNd8tMxQFCV9rZwMCMlYXHco,4328
labml_nn/transformers/glu_variants/__init__.py,sha256=6b5uNMMLnOy7PWcm2LS3zI0wT80gHEKL5bMJROthZJw,359
labml_nn/transformers/glu_variants/experiment.py,sha256=-tmOdzIInsAmlxB8r1xox8UOQh8AR-j16xuUbdfDTAc,4296
labml_nn/transformers/glu_variants/simple.py,sha256=Y5r9F8Cz9B3lnaOFxYHoVsc7kJFd6PRoUAoHmsvHKP8,11935
labml_nn/transformers/gmlp/__init__.py,sha256=deuey19vu5mjaRkEMNlA7ehDZSg13VpljnOuaJXjvOs,6152
labml_nn/transformers/gmlp/experiment.py,sha256=Ujqxe3Uhxyr9G9hfO1MgLo-BFesO1t-ZcTS6N6Z7Le0,3281
labml_nn/transformers/gpt/__init__.py,sha256=CMJWXLX4DKLU4g1SYmuZw6InvnpJYbXlZf3HvSK7NkA,8665
labml_nn/transformers/knn/__init__.py,sha256=mPS19rQTkSILrwx2akp87PDHJrLGjdCboI0wJzCZRBA,1934
labml_nn/transformers/knn/build_index.py,sha256=0mczWS84WZC66zykHEqA4jzdEaIMhJwYewQnA8Xf26o,5712
labml_nn/transformers/knn/eval_knn.py,sha256=7IwWvYcYYlYpoxeAlwZcWi3_p7aEbfXLbZAmFnu01R8,5907
labml_nn/transformers/knn/train_model.py,sha256=swP-2KiEO05tBuWzyHH3ZCvMEBNsDH59Yxa6PdEe76A,4481
labml_nn/transformers/mlm/__init__.py,sha256=a3aefhVKWICkgTfyBkpE_a3dpakh6f5z4DtVbdqoKRY,6396
labml_nn/transformers/mlm/experiment.py,sha256=0N6-DzU7UuLENFt_3wXXMGvU_1tXCDYxZINUJdgDqoI,10183
labml_nn/transformers/mlp_mixer/__init__.py,sha256=sb7vmahiyT9tQzO1lRjGrKrFDUSPbvOgU-67KB-uOXw,2956
labml_nn/transformers/mlp_mixer/experiment.py,sha256=VokvnvAfTdJeBIBYKuQo0yFaHBzHbX7OLIsyr_Q60yM,3030
labml_nn/transformers/switch/__init__.py,sha256=kNL-hDCnXSGEHyvICeEoH-G4Pz4cEXHG6dwcoKIcOFk,9937
labml_nn/transformers/switch/experiment.py,sha256=L8wjUtUG6UkzE4BVT47lOnAo7MjTfJJ8r0978TTDdVI,8280
labml_nn/transformers/vit/__init__.py,sha256=8Py9z3zWgL-ow6LYwo9lzrtRgOeD2FkOGcD477uhK6Q,8071
labml_nn/transformers/vit/experiment.py,sha256=XvrKDh-Pnb8MIldWaWzW8kIP6haG0AILOG3yDBMF6GU,2861
labml_nn/transformers/xl/__init__.py,sha256=z5xI6JXV2EmwehY4Lx9xPfq7GzLM8HN4PINPrtB4MF0,5422
labml_nn/transformers/xl/experiment.py,sha256=rnnP-eNw-iUA7_b0GxnbmTdh067aluHQyLQwRzpfsaw,8779
labml_nn/transformers/xl/relative_mha.py,sha256=0O1GKGjDcMr9CnzNvhOAOufmotSdoIloss0DWSiMwwA,6230
labml_nn/utils/__init__.py,sha256=Dkm6eJvBrrmkwNmGFGzzicbDa6k-0QAj6NZmrPWStcc,1548
labml_nn/utils/tokenizer.py,sha256=QEoEVnfEKxmvh26yKd9Nbre-HkmOnbnM7V2l8rQCxdQ,970
utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
utils/diagrams.py,sha256=Lw7blOuW4Ty7n5QmWXGeD3NbcQHCysPp2D_nQ8jInSQ,5517
utils/sitemap.py,sha256=Zp_m4pTp7mRFOMe2d_iOHvqSfSq-QusWFcvO9fZyehI,1486
labml_nn-0.4.103.dist-info/METADATA,sha256=oGMQ-5soT0S0rTUpQ58e3LHzrTfW2gFt9WrUB9wOTIE,6696
labml_nn-0.4.103.dist-info/WHEEL,sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA,92
labml_nn-0.4.103.dist-info/top_level.txt,sha256=Fh9Z588ERJZcyAsMmOUliiG8264Fl6WSupGu5iLLyr0,15
labml_nn-0.4.103.dist-info/RECORD,,
