labml-nn
View on PyPI — Reverse Dependencies (1)
0.4.137 | labml_nn-0.4.137-py3-none-any.whl |
Wheel Details
Project: | labml-nn |
Version: | 0.4.137 |
Filename: | labml_nn-0.4.137-py3-none-any.whl |
Download: | [link] |
Size: | 443932 |
MD5: | 3fd460d184ca7d171dbe88db8e4cfcfd |
SHA256: | 6f03605a939dfe162dbd50de984e6d84c52c9e72c29973594e571f5426b50100 |
Uploaded: | 2024-08-24 09:06:45 +0000 |
dist-info
METADATA ยท WHEEL ยท RECORD ยท top_level.txt
METADATA
WHEEL
Wheel-Version: | 1.0 |
Generator: | bdist_wheel (0.38.4) |
Root-Is-Purelib: | true |
Tag: | py3-none-any |
RECORD
Path | Digest | Size |
---|---|---|
labml_nn/__init__.py | sha256=ilL2lg-QcSK7KwrKYCIhxjmxJ9yyRNUkJt9A1f2imbU | 6080 |
labml_nn/activations/__init__.py | sha256=Y3l9M3Er274x0smB3TjVSBk_0p4ZVn6bRlqzgA8yMMU | 288 |
labml_nn/activations/swish.py | sha256=yV5i0TF6uQv27mycEUUWSvv_fokoRhx93WsQxZz98aA | 277 |
labml_nn/activations/fta/__init__.py | sha256=bgoe0btED94oPRTlgV-yha9niispwaUlka7jPPjagyM | 4555 |
labml_nn/activations/fta/experiment.py | sha256=-TVFNqJEk8Y8ICAuvLk2f0hwzakaW9DqwKyIzls6cPg | 7138 |
labml_nn/adaptive_computation/__init__.py | sha256=ayKOWve81ZE1r87RRv9wpE_q4CDZr1-pvaLN4kByuH0 | 448 |
labml_nn/adaptive_computation/parity.py | sha256=xTxQKxpzHXih5L5I9hfbSYVYYDONvz7aBDVHfbXH7bk | 1743 |
labml_nn/adaptive_computation/ponder_net/__init__.py | sha256=loFvyjojECnvamEQ38OD6Q1jM3VYcdzv1Dd9a7MxF_I | 10205 |
labml_nn/adaptive_computation/ponder_net/experiment.py | sha256=S0Y80ahtZ7szOPiKVcpEMSTJFXfAJFnVoQjpCsvKURc | 5038 |
labml_nn/capsule_networks/__init__.py | sha256=ranvHAUlbr2UQpUPtAMcsgpEKrX6o6yXgx38lG6t7i8 | 7511 |
labml_nn/capsule_networks/mnist.py | sha256=KrXaW6V9dZzRsSjZKsOcZCb4RhlhQJ9qM2md8_fYejk | 6500 |
labml_nn/cfr/__init__.py | sha256=NinOEIZ491h3knxYyyZZSyaws_e7YfECyMrkLKJ6HYs | 27072 |
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=LD2fcOB_mwh_iwfQXxVSQYUp7tdVaGm5La6dyTE7ABw | 7942 |
labml_nn/conv_mixer/__init__.py | sha256=FFnKYG_jexw4HvfQmVrbHFrqUFm18XuFgFEOyZOZBhE | 7498 |
labml_nn/conv_mixer/experiment.py | sha256=quW5Hkc9qkAO-6FyVnqgmS4AEMZBi9WRAAiSllef7P4 | 2440 |
labml_nn/diffusion/__init__.py | sha256=FIS77gt703y_5DGgRRHw-q8OMUuupSl-U-s53_oqt-M | 415 |
labml_nn/diffusion/ddpm/__init__.py | sha256=apfFAQ4xyVGeyX63ItSfZyv75tTPmfDn3mzK5WlRxKI | 11213 |
labml_nn/diffusion/ddpm/evaluate.py | sha256=jtXhQHDYBQThzMTOi0RqZqehtVR3TWhsK7Pp5R-1ndc | 11879 |
labml_nn/diffusion/ddpm/experiment.py | sha256=BoOuc4CkxP3ApoYymX-BTovJK2azGKmFInDZJSMLX_M | 7504 |
labml_nn/diffusion/ddpm/unet.py | sha256=V5T4jQ1fy5zAgsjaDa8hSodPhoNiOctmXPfN57mDZHc | 14870 |
labml_nn/diffusion/ddpm/utils.py | sha256=NOeshTUAvDGQKLldV9bmJza8qxSnW1xKuAJLMCwFWnY | 372 |
labml_nn/diffusion/stable_diffusion/__init__.py | sha256=TpikxJgMavT3IAv9zGu_kqbiGzU97SnoS717y4UPHiM | 1886 |
labml_nn/diffusion/stable_diffusion/latent_diffusion.py | sha256=QZgBbS6x0qCbYdRywcZrZDvoHJM7LQ3OTIm7tiyEI68 | 5447 |
labml_nn/diffusion/stable_diffusion/util.py | sha256=xIHdwJhQrY2CiuTGr92Z4eTf3q-DstpywunlgGWrqb0 | 4997 |
labml_nn/diffusion/stable_diffusion/model/__init__.py | sha256=EyZOYE0WuBxd9-aq38t16TY7gbmqL9yEQa-cC8k_3QQ | 289 |
labml_nn/diffusion/stable_diffusion/model/autoencoder.py | sha256=f6i656FQxBGGV1lqZE8GJQSDHrqm1dcCG7yJ43uX8Wk | 14779 |
labml_nn/diffusion/stable_diffusion/model/clip_embedder.py | sha256=aJQwHogM0NwWZ2pTjqDpK9d-ON2BUblzWdLCLnkyfgc | 1591 |
labml_nn/diffusion/stable_diffusion/model/unet.py | sha256=WVLHU93gN_XdV03TDv8Z1baXpF77ly1zxaMc2CVV6h4 | 12557 |
labml_nn/diffusion/stable_diffusion/model/unet_attention.py | sha256=9bnd2ysayEj8rYy_4wwuQx2MvyUyBJncoixm4THqvXo | 11785 |
labml_nn/diffusion/stable_diffusion/sampler/__init__.py | sha256=YNdZQ3qs33cef5wAot3cS_O1HEdoqL5KrEB_XqW9ELY | 5147 |
labml_nn/diffusion/stable_diffusion/sampler/ddim.py | sha256=StCAmHbQR3mDsWXDum5OIi4vCypuEmU87s2qhAaTCSk | 13025 |
labml_nn/diffusion/stable_diffusion/sampler/ddpm.py | sha256=QhOxkUroVUnGx2HztYW24zMoexSzPOd88t7xMMuAIKo | 9184 |
labml_nn/diffusion/stable_diffusion/scripts/__init__.py | sha256=h0tAcPOYsl8mw4ouvzqNjUw0uTyb-ZAALy-6Erz4-iU | 363 |
labml_nn/diffusion/stable_diffusion/scripts/image_to_image.py | sha256=kZl1wwCSCpTmumicEeirwJZo1BlGp1Z_a_rLGFi4Mpw | 5322 |
labml_nn/diffusion/stable_diffusion/scripts/in_paint.py | sha256=v6nc5AgIi8otbFkVoV0aHfDddRBwdSffkGo0h8oiSH8 | 6185 |
labml_nn/diffusion/stable_diffusion/scripts/text_to_image.py | sha256=Nv07vkk5od-qvgTXVjS7B6UskpP5_-jx_vzCfO9D_Fc | 5431 |
labml_nn/distillation/__init__.py | sha256=T-b5md3FQNqZ_MpCaKK1mHBWAHwyjQXjK2xL66-nFRw | 8431 |
labml_nn/distillation/large.py | sha256=o2rawVn1n_AU_OEbPidtvuEvTCGm7g8NMHX9W0EpQuE | 2425 |
labml_nn/distillation/small.py | sha256=CNI7YcE2WiK7LfpSIbB8irkHysWQdLPPLnErMTK_Yv8 | 2332 |
labml_nn/experiments/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
labml_nn/experiments/arithmetic_dataset.py | sha256=2jJ31WWEXRn7qvYZ2N8D5y79AvyhfQJbspl9hg6Gy58 | 8002 |
labml_nn/experiments/cifar10.py | sha256=_3wPspRZq0Coxa46WUejbxt0O10ko3juMtWQpFAt0RE | 3521 |
labml_nn/experiments/mnist.py | sha256=RtczAsq_Gf3SawfhXiQHh4A9-kYPXAwgKumMDtPhNJM | 3379 |
labml_nn/experiments/nlp_autoregression.py | sha256=SE_1Mz5hwNsC0WiiIEPjg9ZkhaZ-cYLUtw7irMCUxRI | 10363 |
labml_nn/experiments/nlp_classification.py | sha256=kO3jTZXEOSBxl_gO5nKKbcg4l7DVGX3FSVp93AC9-ag | 9168 |
labml_nn/gan/__init__.py | sha256=_zHCoJ6xLmwCf1s3EwS1DsP7_fGhorW87UGYN2sQ-wQ | 449 |
labml_nn/gan/cycle_gan/__init__.py | sha256=S3en8zLNzxfOYxgpVHCe54KOpsSH-aBw0Hn8i6NzcfQ | 28889 |
labml_nn/gan/dcgan/__init__.py | sha256=vBN9alg403Bo8wlTNBDgN73veDjO4tcgKzXIP8DuJ5U | 3878 |
labml_nn/gan/original/__init__.py | sha256=060qgGaJ2psL3iyLXSi0dWgMGv3_N0TjmzzreuzmZmk | 4909 |
labml_nn/gan/original/experiment.py | sha256=mPqZqA0YKfCq0aBCftQw6cpySqtDTGHnaHOfykxvMQs | 7964 |
labml_nn/gan/stylegan/__init__.py | sha256=Fb3cG9O1WD7EZ9LKKIG8CrgkIdvOeOibNLKvwgZWnh8 | 36587 |
labml_nn/gan/stylegan/experiment.py | sha256=2jLIzbWOeVEGTigGfQtuPbXcGlHCw5kW_T89-G_fWLs | 17569 |
labml_nn/gan/wasserstein/__init__.py | sha256=RLWDMSMZIjytgPcFUK_cGtZW-hBggjBNx2hZMtI7OzM | 4702 |
labml_nn/gan/wasserstein/experiment.py | sha256=qyGk4h9PO6jxgCwDLbrq4Vdf7t6Kt45KjY6etS9S5h0 | 1352 |
labml_nn/gan/wasserstein/gradient_penalty/__init__.py | sha256=-QWO3oZTTNekJCQwJ29slRV8l98fUbhahqYVXOktypM | 2821 |
labml_nn/gan/wasserstein/gradient_penalty/experiment.py | sha256=zisuNEam5JHYRdB3iPS0-b7jjP27Yy83G4XtLzFXxPc | 2780 |
labml_nn/graphs/__init__.py | sha256=p1zvkSYeNPGMb5T-eJbawzk6r_eqci3ase-GtrFmxzg | 268 |
labml_nn/graphs/gat/__init__.py | sha256=pDR86cIr-sIY0nko-HU1wbh1yBwePyO3Z6CGLruZeIQ | 8911 |
labml_nn/graphs/gat/experiment.py | sha256=uTSXbHvYo5os-N-HJGtX2CPMA8jxvZEE98XS5nchIHk | 10408 |
labml_nn/graphs/gatv2/__init__.py | sha256=rYq2DNM2rjBro5GNdHI_qUXKAnU2EESmrDQLkMoZlMs | 10890 |
labml_nn/graphs/gatv2/experiment.py | sha256=e5bEGeOMEpMZ-cQaQBDGP2cl3jStqtzuFjG4o7up5Y0 | 3662 |
labml_nn/hypernetworks/__init__.py | sha256=XplC7lJIixwssdkgp6Ij4Z3ciTsjfSj0HLuucri7Ve8 | 160 |
labml_nn/hypernetworks/experiment.py | sha256=wpVJhsaXE-71Z5iQSl2AoRXRivh8LY-v6dwWwL92jws | 2824 |
labml_nn/hypernetworks/hyper_lstm.py | sha256=MhJf5SB5-lB636-tDklgYzAEgqOOWmd4ANHFkqm_k7U | 11585 |
labml_nn/lora/__init__.py | sha256=VGgtjR1kHzIpWntUzrEp79_svjp3pqf0irZSR04i4Q4 | 5415 |
labml_nn/lora/experiment.py | sha256=--Hwg6qbB4japGp_NdEQRs_JItqtRkiSFqrqNbOETAY | 7403 |
labml_nn/lora/gpt2.py | sha256=sDbg9ue56mnCCNVYgFdWCzauxOT4278Ty7p8Vg7TK4Q | 6307 |
labml_nn/lstm/__init__.py | sha256=Csn8KTV8n1lcD1Q2OA82Y69FPVq0ei73S0ieJxRJ-JY | 5997 |
labml_nn/neox/__init__.py | sha256=-I6qoxHXnTe73gcgKkZdypfr937Q_1z-Ng5sHPgg9Dg | 971 |
labml_nn/neox/checkpoint.py | sha256=rY45G8p5jwck-C9WgL-04ROqgj6SGFkUGpHg1pVwiVo | 4783 |
labml_nn/neox/model.py | sha256=SGewWopTQcgNbF7AzOVJo0ryXjybnyLfiNWx2vhVEno | 26583 |
labml_nn/neox/tokenizer.py | sha256=lUcF9vrdpJ4VDyNVrLjyv6xHnlPyL7adKaNvJTl7iNA | 551 |
labml_nn/neox/evaluation/__init__.py | sha256=qx6Z0yv674Z8cTCJs2-RIFEiN3NketyGaqU0cZGtiQY | 8527 |
labml_nn/neox/evaluation/half_precision.py | sha256=PA8DGbxX7s7SKWt1U_32vuSSv0pecNTnceGr3SO8xv4 | 1273 |
labml_nn/neox/evaluation/llm_int8.py | sha256=NbqEjE7Q6Lf2YlZKzIFxIoTiDXNjFFvCCA-fDrbuE8E | 1745 |
labml_nn/neox/samples/__init__.py | sha256=QuUQrNG59YeASVlwVM28rMbGmJ9V3mfbnYwiqWWLles | 204 |
labml_nn/neox/samples/finetune.py | sha256=sishSGgR8B1JP4Sm-G0Qy4fCl3iAWbsCYZ3c3tx3RRs | 3620 |
labml_nn/neox/samples/generate.py | sha256=hdJSOjYOWSCPqFej4eMaFpwT1p7lV5A2oWIt8AuVWGw | 2613 |
labml_nn/neox/samples/llm_int8.py | sha256=v-0-BVFjPdgOe57E4-AO0ipTPV2wHpv1bkXlbdgZLPM | 2968 |
labml_nn/neox/utils/__init__.py | sha256=KE7LBoVK5r24N7aAoQh6eVSWcG8KZEg7GhO-xh1Q3jE | 3502 |
labml_nn/neox/utils/cache.py | sha256=htTkpfyNViczWeljhkxSaQ_Vgld6BVa-4CyvvS5_EUU | 2629 |
labml_nn/neox/utils/finetune.py | sha256=7IrJMPVWE0fZ74uaDe1lwpnH2jnAEM4NysN36eKP0hQ | 1883 |
labml_nn/neox/utils/llm_int8.py | sha256=06LbYgjd98HWmvNCd57yLF1ZVwpa9ws3KAODiee6f5k | 2853 |
labml_nn/neox/utils/text_dataset.py | sha256=oBD_OcNoA-n6RmEtkHjVMgseGzaZlxLsLRkZRoOKs6I | 3266 |
labml_nn/neox/utils/trainer.py | sha256=-_BuP5evCfOC9_Da-0OaYZ3NaNXIEcJO7PxmH2UcmOE | 5639 |
labml_nn/normalization/__init__.py | sha256=E-gihFTfL0BjNJUrhYyJXg4j4goN9WlzalPKQjN40uI | 503 |
labml_nn/normalization/batch_channel_norm/__init__.py | sha256=5T0_v7DMvML-MMRFtzUX5pbgnmjWNoAgNL7XXVOrvMU | 9872 |
labml_nn/normalization/batch_norm/__init__.py | sha256=hU4kF5idxo92ZcaJoGt4_2l3PGpThKjAojHVQ9qtVV0 | 9583 |
labml_nn/normalization/batch_norm/cifar10.py | sha256=8CschuXNIm9z81RRxk0Sfi9n1FbUi66DSnPcz8PG67c | 1629 |
labml_nn/normalization/batch_norm/mnist.py | sha256=w73OT9u9rUkOzSPAyATvqtTK3pxJnLUbG1ByrvOV9pU | 2481 |
labml_nn/normalization/deep_norm/__init__.py | sha256=DLNPkYACFiECv-_SCM1EM5r2-fT2vyXo9rGCaLxzRys | 6858 |
labml_nn/normalization/deep_norm/experiment.py | sha256=ahxu7vMrQMRjBG3NQS2nW5-dB7ml4z-sFglUcGzCdvo | 5077 |
labml_nn/normalization/group_norm/__init__.py | sha256=2Uk_8DfmtKCNeTf3qQMpfN8mGRKn_GkZgEP_vsjuyRE | 6261 |
labml_nn/normalization/group_norm/experiment.py | sha256=jEqvc-uPBe3qNLdTqWGJi1pOgeOq1Aa2rJca5a5YYQo | 1804 |
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=kPrvIx2_ZtNoJE3UhH4VFhaJBw2JXCg4eX_tT4QYGsA | 5561 |
labml_nn/normalization/weight_standardization/__init__.py | sha256=7ATZ4re6jIrAXIWSWykR27CqlEcR6WXis28GIIevvks | 3590 |
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=zpna_mNF9eFBj9SJTHRJtrO54LixO3vS8CGz5wXhOj4 | 8165 |
labml_nn/optimizers/ada_belief.py | sha256=RS-wAkd6g3wnl19D0qNBuwkxikFd1yaqpg9nsNrDZPM | 6834 |
labml_nn/optimizers/adam.py | sha256=41VBN-BUAM3YhYsPxvNnzvyE9mndADD7egn1vDwupnI | 8607 |
labml_nn/optimizers/adam_fp16.py | sha256=wGnBegBnUkyEd7_lhBYARaZrkXhCCUoCrJBPSt-rWl0 | 5522 |
labml_nn/optimizers/adam_warmup.py | sha256=AZ_8ke8iwrly1f_1QnF-KRP3azyxA-IeFN3qlRSkt80 | 2301 |
labml_nn/optimizers/adam_warmup_cosine_decay.py | sha256=nxNIFX-Iaq0LqklUu1u1NIrLQR6OkVO4V9PcX6dbhlI | 3675 |
labml_nn/optimizers/amsgrad.py | sha256=Bh5l34ojI0ljyuuUVEvre_zeNs5GzqwJdh_ioUBCrfs | 7847 |
labml_nn/optimizers/configs.py | sha256=ye9TKc96IIlzhhuWBec4KWEGHnKiYZG950UbYR4tPHI | 5117 |
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=-B58KliDW93WYzwXpmK12E9tW77Zu_AdszQNjrhurDQ | 1612 |
labml_nn/optimizers/radam.py | sha256=60KzJjzhFZtn0d0HKJTRpRNaTJnktLLYnvcvoazKVPk | 11257 |
labml_nn/optimizers/sophia.py | sha256=ApGr0GfTWak3oZN8va0JnNAUAy9OFQ2mkRu9yAb8-E8 | 7283 |
labml_nn/recurrent_highway_networks/__init__.py | sha256=p6o5ro9hGQkP5NoRc1liybZXGiA0o4lbRhXisLyCRZA | 5721 |
labml_nn/resnet/__init__.py | sha256=mIYbLrVWyBV1Zu_u5v5XMZ8ETR_yMOVMqWthZP0cdXk | 13391 |
labml_nn/resnet/experiment.py | sha256=v6BGcYzz_w3dYEqAlIAQcUcCSckwWYHz0ManvFneq0M | 2105 |
labml_nn/rl/__init__.py | sha256=Pr6BPgyAqF8gevMmdQVqLSaxGc3FHWPQVMgwtE5GKJk | 826 |
labml_nn/rl/game.py | sha256=PIicY-Y8eOC-Lfnzad-lAwMOUQtQygTE_Kblowa-3OY | 4661 |
labml_nn/rl/dqn/__init__.py | sha256=bvYMZK3KM_jdNz4T3ZVx_iH9EU5KTwcxP707ABLFvU4 | 6583 |
labml_nn/rl/dqn/experiment.py | sha256=HY3NnytusFQuEJxv7_vlBjcUEE_fcplc3FBmcxxxLBg | 10833 |
labml_nn/rl/dqn/model.py | sha256=bPm-YxTtn1qN6nkPcJSNQj9cu8p_yyN19QWiCA30Jbc | 3499 |
labml_nn/rl/dqn/replay_buffer.py | sha256=orMiusEOSFknl5HfvhO_Lmwai-t5H07ff3KprCQrl2o | 10006 |
labml_nn/rl/ppo/__init__.py | sha256=2KJbIfKo0GdIErhKkESi1I8e3x-jS-dmuklZO0mi1L4 | 7451 |
labml_nn/rl/ppo/experiment.py | sha256=zYv9kCrpqAXDgIFqzXm3ZBWQ1X2lWcadfhT6JkJGsOQ | 14180 |
labml_nn/rl/ppo/gae.py | sha256=M5GZEonzGDDhc3WHZzTls8mNR3vurqlZ4iG2zfqvd2s | 2699 |
labml_nn/rwkv/__init__.py | sha256=-8V4vTh5Nmgv_ocnJT4f9DUyyKxN-XkVLfl9-jiSExQ | 10534 |
labml_nn/rwkv/configs.py | sha256=DBJBujslX4MQltYzp-WnQMhJKbUGhnrgwEkZK8jo6II | 724 |
labml_nn/rwkv/experiment.py | sha256=TfK1VUspeJUUlvTnh2ajYsbkgKFZrhYUYMvU5q7jge0 | 5474 |
labml_nn/sampling/__init__.py | sha256=LIkF8nuESYI6HUxJniA5KqoOl6aWsgtSPEz3iNBByas | 739 |
labml_nn/sampling/experiment.py | sha256=cmYE9fmXm49J_KqUJ7x_gBBwFqTz9NMH3a5AF9u296o | 3995 |
labml_nn/sampling/experiment_tiny.py | sha256=86ERYu2mBmHd8Thb3S3iXnqzjA9Qx1VLYKGFqUVoiJw | 2790 |
labml_nn/sampling/greedy.py | sha256=V5LxKphvCIs3dJ6kZUTucrh7fh7IZyUOpfnk77PMbFU | 543 |
labml_nn/sampling/nucleus.py | sha256=HKACEu_SsAfkJh7pM3smU-obdvpbWmauWsZm8e_Jan4 | 2740 |
labml_nn/sampling/temperature.py | sha256=dEzSkymK3RA2uHrKmJqJrwwgamWZLgppZYwLJx34A7M | 1207 |
labml_nn/sampling/top_k.py | sha256=zClQ8jPZhk1XoOJ9d8Woka5NFnLbg9qDLDmodeTJYTo | 1437 |
labml_nn/scaling/__init__.py | sha256=_nTwPMmiCQ7c07w9k6LEtm4-BkJ5VSuxy7HVVH2fO2w | 190 |
labml_nn/scaling/zero3/__init__.py | sha256=DVGip7GVSLkPxmBD3HKFgS8FIv370tEqa5iLzEN95Uw | 20010 |
labml_nn/scaling/zero3/finetune_neox.py | sha256=UJcJtTZDeqORSK4M3jznDYa4GCdMr2TB73MBQuiXtp8 | 3864 |
labml_nn/sketch_rnn/__init__.py | sha256=K7oapcfsIf-LBArIJ5NnKjYpvKpuVk5-v9nIkODLCFU | 25109 |
labml_nn/transformers/__init__.py | sha256=QE2qWppaXxjd-bs-UNSXTVLgK4cX8d4GQje59GM3nC0 | 4253 |
labml_nn/transformers/configs.py | sha256=0fRxIB-RnDdtAYCi48m6b1EMDebBS5ENTe9DqCn6dOA | 10336 |
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=my6awf1IdwHnOEvUehWEP59byICzW6GJ8qeuAPCqoK0 | 7445 |
labml_nn/transformers/models.py | sha256=HJuygHVsLfVAl3H0mBFwAYQVibkSEp7JohKPU3Xofh4 | 7694 |
labml_nn/transformers/positional_encoding.py | sha256=yJ0_iZmloxK-X0L1oRi2JL7_VghDHiDg_40uFZxsHvM | 2290 |
labml_nn/transformers/relative_mha.py | sha256=16WrdIGm5vuac79saVwwHyh99bZeA7u1CQ3OQpFhCNA | 187 |
labml_nn/transformers/utils.py | sha256=jTBgaH7Y2vYg1bZpJX68yXXYiDLg3rAFZedZl47eFqI | 538 |
labml_nn/transformers/aft/__init__.py | sha256=JBSourZxJmpX4ipWbxk_u_9woVLu8Gs-MdNp6vSzgB8 | 8483 |
labml_nn/transformers/aft/experiment.py | sha256=f5QX11jwQK2KFV48bBLVfecrRsxvISpdYA4BQQlAukY | 4855 |
labml_nn/transformers/alibi/__init__.py | sha256=EujdSpnuV2snifNbfWCDklkuf8qrkqi3JZmTw1mCMTY | 7349 |
labml_nn/transformers/alibi/experiment.py | sha256=XjTbMKbqooOqmMOBJNk4cmJc6qY-By4oLchsN4MXP4Y | 4967 |
labml_nn/transformers/basic/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
labml_nn/transformers/basic/autoregressive_experiment.py | sha256=QCO7rfmqPF-aJpTdZXt22_mUOdOZ947DE0_EiG3oAM8 | 4664 |
labml_nn/transformers/basic/with_sophia.py | sha256=00KM3AoyEcHXE7DCs9hpH-c9RHmRK5DY0NqUIsO1kRk | 5534 |
labml_nn/transformers/compressive/__init__.py | sha256=K20ybT6F7wB2S0eL-TR51NJOn0TgmeiP-m3HcgLZpRg | 13654 |
labml_nn/transformers/compressive/experiment.py | sha256=u4j4LfpWFtZocaQXpZenFwI8RtA6_IoYA5b3MxhlgNc | 13020 |
labml_nn/transformers/fast_weights/__init__.py | sha256=ZunxlsF-mJTiWxHitkXP78Ty8CyQFdcqaHFbPkdepwo | 13157 |
labml_nn/transformers/fast_weights/experiment.py | sha256=1THardh3uqVb5eSPqidKUzjS3Etb2CZhb7VvF0k6K18 | 3744 |
labml_nn/transformers/fast_weights/token_wise.py | sha256=vFFU1OmVhs6ezW0ZbmBHD9T-0_WMzCmsIcyhqE3mf7k | 4213 |
labml_nn/transformers/feedback/__init__.py | sha256=sk1Bx03F1OnO80Z16fD8flgqSSeD_V7DntO3qjxhL4c | 19793 |
labml_nn/transformers/feedback/experiment.py | sha256=czClpPM5pA_IRwAMwK95xqb-wp3KtdeddP-pjIHYzr8 | 4797 |
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=9ClIPiTvWQoCHJ34fjP_kQTeGjNTFDY8PMOtf1DGM5o | 333 |
labml_nn/transformers/glu_variants/experiment.py | sha256=-tmOdzIInsAmlxB8r1xox8UOQh8AR-j16xuUbdfDTAc | 4296 |
labml_nn/transformers/glu_variants/simple.py | sha256=SvBlSzZ5Z4GFhv6lw4m4rVycbZUzAJfeMTStEl0KEGc | 11848 |
labml_nn/transformers/gmlp/__init__.py | sha256=3QV3EQa35_UhzfrjhNcqAVAxfFczp_7oU6v6HlQTE7c | 6017 |
labml_nn/transformers/gmlp/experiment.py | sha256=oguC4xSSLdRzQ25BBN3O9ldWhIbKgkeK3x-mf4zi9_c | 3148 |
labml_nn/transformers/gpt/__init__.py | sha256=pRBM1K34DtIJ334F99F7v6hhVHwxCIaqO_zBmsz3drw | 8577 |
labml_nn/transformers/hour_glass/__init__.py | sha256=817QS_xGSkuVsM3-aKj6ODO_Co94eyNDv8vrIZ_8CGI | 10207 |
labml_nn/transformers/hour_glass/experiment.py | sha256=l542x_jvtEUHQJpM52XZwhEh5BkAUCpxrzGOSOqmj-8 | 4689 |
labml_nn/transformers/knn/__init__.py | sha256=t5krVMjwbRsIy31Dwnd6wF7B4Ft6Jn3ENWQdtSo7ot0 | 1966 |
labml_nn/transformers/knn/build_index.py | sha256=0mczWS84WZC66zykHEqA4jzdEaIMhJwYewQnA8Xf26o | 5712 |
labml_nn/transformers/knn/eval_knn.py | sha256=0AwZKEWjOmd44D5GJEvMIz8nvAkbJLN9lXiJfOvi4VQ | 5916 |
labml_nn/transformers/knn/train_model.py | sha256=swP-2KiEO05tBuWzyHH3ZCvMEBNsDH59Yxa6PdEe76A | 4481 |
labml_nn/transformers/mlm/__init__.py | sha256=jTDLATmK6dN7GSKrxGjmynKyyabQR4cwAyGrqErdTA4 | 6264 |
labml_nn/transformers/mlm/experiment.py | sha256=0N6-DzU7UuLENFt_3wXXMGvU_1tXCDYxZINUJdgDqoI | 10183 |
labml_nn/transformers/mlp_mixer/__init__.py | sha256=X3BuTolBWL5PiskZAVli1YAa5exQgR9fbYT42LLHcfA | 2815 |
labml_nn/transformers/mlp_mixer/experiment.py | sha256=VokvnvAfTdJeBIBYKuQo0yFaHBzHbX7OLIsyr_Q60yM | 3030 |
labml_nn/transformers/primer_ez/__init__.py | sha256=vuyM722bTKbF_OLqrz_mKO2NtRaQ1Z7i0SJFakYXD5U | 4867 |
labml_nn/transformers/primer_ez/efficient.py | sha256=Z6W8EpJAbBmsx0l7NX6p9TlW8WytG3pRBOu_YazripI | 2197 |
labml_nn/transformers/primer_ez/experiment.py | sha256=CDURim2Igt91cleq3c1JwbFglAx2-BsRoN5kgL2JzVU | 4300 |
labml_nn/transformers/primer_ez/variations.py | sha256=sVQZhmEd3e2567H2fXcGuBmMRYMt3Q2RW5k5fLCcTHI | 5575 |
labml_nn/transformers/retro/__init__.py | sha256=w_piLKaRLytepUV47YbBvLqyTvDdbsyScjibMyLoAHY | 1414 |
labml_nn/transformers/retro/bert_embeddings.py | sha256=CQCkbAxcFsWimQV4rqJjCYYC3Xuey1hfJCfbhgIh_mo | 5243 |
labml_nn/transformers/retro/database.py | sha256=v3XHfueqaY6Yv6SPXgkecS5UlUGrwADR8LliNvne-ts | 5973 |
labml_nn/transformers/retro/dataset.py | sha256=DlimiL-gygmtE0dP9WzGEfrx3mtwzC5aF0dR2sqyrEU | 4109 |
labml_nn/transformers/retro/model.py | sha256=I9YzNBD50S1Q7n6k1JTpDuw5GE_4FBuSaLEPOQOTELk | 22234 |
labml_nn/transformers/retro/train.py | sha256=N-c8WoKMEsTV06Qxc-v4XeT_fzQ4iU86vHpnXGXk2mA | 7164 |
labml_nn/transformers/rope/__init__.py | sha256=vlHsGQrowHe12HZiDdaIW3VJ9HP1lkRT7NnW711xjpQ | 8141 |
labml_nn/transformers/rope/experiment.py | sha256=4F8_C75tp8zqUgAnoQCJpy-kXgPH_lICteAS_Qy7Oq8 | 2999 |
labml_nn/transformers/rope/value_pe/__init__.py | sha256=zLdOnib1-NVQHas2ZSV9Vm-CBbdshgHr1Yqgrzw3t7E | 9316 |
labml_nn/transformers/rope/value_pe/arithmetic_experiment.py | sha256=8yh9lFQV6fVjIDuXH3u8oW19gxDyW35Cp65McZmeMQo | 2872 |
labml_nn/transformers/rope/value_pe/experiment.py | sha256=4mlQQ_XXyRh4OK17A05hg64pqqJvXfNn24rQX4O7vew | 2837 |
labml_nn/transformers/switch/__init__.py | sha256=Jay0J7p3JD-TIKOZrzMzy8fE4f74rWt7uc50rddEvsQ | 10138 |
labml_nn/transformers/switch/experiment.py | sha256=Cr6yrxzr91wcBowFHZor4tilNfstfDiHCCkKonW56tA | 8686 |
labml_nn/transformers/vit/__init__.py | sha256=Mqs0yo_T6ySzylwhvsYAn4aiYPBer1149WudU9YqiFU | 7922 |
labml_nn/transformers/vit/experiment.py | sha256=nTNS28N0LQeX4f5whFAnEWh0FLCej45mbTdmxj_SxXQ | 2726 |
labml_nn/transformers/xl/__init__.py | sha256=vpcVZBv3LC_zA2wEeJVN6P5Xqe0HetAClB7GpLsp5TE | 5334 |
labml_nn/transformers/xl/experiment.py | sha256=rnnP-eNw-iUA7_b0GxnbmTdh067aluHQyLQwRzpfsaw | 8779 |
labml_nn/transformers/xl/relative_mha.py | sha256=WlgLM9mDramiRqH4NdZI-korXzfy1XDfIrPV68EE1CY | 6381 |
labml_nn/uncertainty/__init__.py | sha256=sjUswlKv02xeyEg82-scfzT7xnlqtvzY7RpjvD7nN4Y | 383 |
labml_nn/uncertainty/evidence/__init__.py | sha256=5EEn6T0sfKTuxDR2TjsFnluhTmNrUZgW2htDqFucHsM | 12575 |
labml_nn/uncertainty/evidence/experiment.py | sha256=v5qF8jJVSTBkhIY7iDEbsw8k_gGfdKJJPqeDs6teXzg | 7288 |
labml_nn/unet/__init__.py | sha256=b5g5NTEqfkwKnkPierm-DDOIDhONGx9aLWRsL_JKLkU | 6660 |
labml_nn/unet/carvana.py | sha256=0BbVC6JMMG_0yvgjbEsVkfmM5hxhUlGP_WGTadkHO8M | 2304 |
labml_nn/unet/experiment.py | sha256=7LN9BC3f2CtCEdDY_pf37j9lPwfgJUhMw8V5GYp8bSg | 5198 |
labml_nn/utils/__init__.py | sha256=vb8UzLZ37o2jRaIjJmQrO96fP9YEKht_ODl47DoCaVU | 1550 |
labml_nn/utils/tokenizer.py | sha256=SGO0HSSMrP-K4CoS28ZweKPUwemEPXjKO7D-qbrfRNo | 961 |
utils/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
utils/diagrams.py | sha256=62fE3bhzUvr_NhnmGC8t1Dl8fw61rjyUmCWOLkwxv48 | 5601 |
utils/papers_list.py | sha256=s0p9h_-9n_eEnDkG-gWvJmLJCACSSZwzDpeDbfJkVNA | 2578 |
utils/sitemap.py | sha256=Zp_m4pTp7mRFOMe2d_iOHvqSfSq-QusWFcvO9fZyehI | 1486 |
labml_nn-0.4.137.dist-info/METADATA | sha256=wFjK3vJkyrLMLeuERNHRQIChE_Gj6BHZpLbm8TKNxsI | 9208 |
labml_nn-0.4.137.dist-info/WHEEL | sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo | 92 |
labml_nn-0.4.137.dist-info/top_level.txt | sha256=Fh9Z588ERJZcyAsMmOUliiG8264Fl6WSupGu5iLLyr0 | 15 |
labml_nn-0.4.137.dist-info/RECORD | — | — |
top_level.txt
labml_nn
utils