uutils/__init__.py,sha256=haG21Wm7Q9v4wkf7qPpgSEu-hgsQbQmXV2lO0Q6SWxs,75423
uutils/collaborators.py,sha256=IwKIb09Vye7YDcWxOXNXyf_zpjjDwBWRAsgnGjXFLbU,12487
uutils/discord_uu.py,sha256=Lyxjkpp0ZsGSbm_7W9B3qlLKnbD-JS-eSCIYd5MP3Kg,8665
uutils/emailing.py,sha256=uFPuI3CdxqCTgh1Z0Q4hpJc-1gUmfmwXD9zGsN8TdN4,21275
uutils/logger.py,sha256=0yYPkSnxNjkGz5-Pba0y6Rbujl7gs1UnIVGkqYLapuo,15240
uutils/stats_collector_mit.py,sha256=LJBtGndoS77kB_4c7UJcFoT0vV5H5bRAgD2Ukr2GfvQ,8686
uutils/twitter_uu.py,sha256=_PiFG6wZTmuIMTI_nVmlqjME4cRQvJv0kZcpsu7KPc8,9601
uutils/whatsapp_uu.py,sha256=4eHrwDwRIa-0FaASz1ZYNXBE4A-Bxuv6QetdIR_FvN4,9609
uutils/argparse_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/argparse_uu/args_tinfer.py,sha256=2FqL2bNTuSu-lon5goDDvjXuJATgMutXoP51eX0NVn0,3694
uutils/argparse_uu/common.py,sha256=NYBm_2chRgKyTnXzr3RGn7IPob8i0PQXPQD31ad9Pp8,15236
uutils/argparse_uu/meta_learning.py,sha256=JKaKdbrZ9NDaHBeHt7ShvCgqDlwCG0Kh9JL3GsKB8YM,34207
uutils/argparse_uu/supervised_learning.py,sha256=ZbeghWvNKtCxc1M577ZktSWSNjfgl-Fhc7P5mHFssjc,20986
uutils/dspy_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/dspy_uu/hf_models.py,sha256=wyJP07oWiJD8ZgnfW9B3rjpWCRLhSvAS7a59X_cuY8I,1151
uutils/dspy_uu/utils.py,sha256=T4lUMPMk1az_GkAAJQ9e4Q8YM4cBTmgiMRSnVDF5KF0,1377
uutils/dspy_uu/examples/full_toy_hf_local_mdl.py,sha256=4Foh6nFmG--6qyPFCZdz-KsYEYWoGQiNuMEumvIuEmE,6848
uutils/dspy_uu/examples/full_toy_hf_local_oai.py,sha256=Sa0Yv5SGv7D6XiL5EIfCzLtmHGZItl2YJW5qQAtP0_0,3294
uutils/dspy_uu/examples/full_toy_vllm_local_mdl.py,sha256=Bj886DwsqCHNtKTiYvAe4pFMDhVUc-ZKZgMBk56YR4U,3510
uutils/dspy_uu/synth_data_af/af_rag_with_rm.py,sha256=41OKdlwBiIE0ILiGjAhW0vTndSiChgd2J3R0KxiYN70,3243
uutils/dspy_uu/synth_data_af/af_simple_no_rag_rm.py,sha256=VQmcdNVJ9naSwa34NRYadcQgCe0aPXlnSkwR0GBmZs4,6218
uutils/dspy_uu/synth_data_for_ft/readme.md,sha256=5g9aT55o8NO11-tdY42WO64UHviCNi0g1jTJHk-M-sI,2175
uutils/dspy_uu/synth_data_for_ft/py_eng2lean4_eng/synth_data_gen.py,sha256=cglfi5C-Jpf_J7wHdaSAZbYxbteSKXXtoPePepEDGcM,5238
uutils/dspy_uu/synth_data_for_icl/synth_data_c_math_qa.py,sha256=1reSeTtEk20O2-Zo2w-fzjmHenHVmG_g0sv7Qx86Vig,7299
uutils/dspy_uu/synth_data_for_icl/synth_data_gen_c_qa.py,sha256=F4dEnZrlnRIJGMCM0pJ4xQE181B4Ux36DBw3TntR5Ww,4277
uutils/dspy_uu/synth_data_for_icl/synth_data_gen_c_qa_with_rm_rag.py,sha256=LjNbPJuW6UzE8FeQaBi84g4JBdyliaEZLNEaY6FBF-g,5825
uutils/dspy_uu/synth_data_toy_c_2_qa/synth_gen_c_2_qa.py,sha256=0DjCjK8OfCIH3bfOKRAEmczd0kzphrvgfX4rD2L9IOQ,3073
uutils/evals/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/evals/boxed_acc_eval.py,sha256=1sK0SLgVQFnPAqlsm4JytmdecfqtmdVWjx896zf-2Tg,20474
uutils/evals/check_evals.py,sha256=r70o7ZzqTOp1oze_EX2p-AByIQK9CDO-3zOiLV6iYGc,865
uutils/evals/covert_to_boxed.py,sha256=NAf4aVMaCvpA-1PRuY7R6YEnpa_TMi0-ZmCeqhlLZeQ,706
uutils/evals/data_eval_utils.py,sha256=6DCtHIiMRIU8o5eZaTXWRGpyLCDVtSjxNCtoA6Zoa-U,17758
uutils/evals/hf_eval.py,sha256=WG_BXnupYBmVNH7HEjI-9mpEB4SeMi0IvCzw-cXNBU8,4229
uutils/evals/inference_eval.py,sha256=nsqz-PRWE7fjB2RvDACyWAkZdGcdhKeMBPt-qCKiozI,34658
uutils/evals/prompts_evals.py,sha256=RyaePqQW8HC6v1RgNKvLkmL4nuI7kAMdB1OnxJqlr90,25669
uutils/evals/readme.md,sha256=JSBnu0L7b6ktl5LO1nW0SMfrW7eIcHf8TT-8kEhnc9w,19877
uutils/evals/utils.py,sha256=GaZpgEB2w1kunkbSBWlZ4XomX9CLlEg7XvssN8osAS4,29668
uutils/hf_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/hf_uu/_train/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/hf_uu/_train/common.py,sha256=l94TJtyxNiVJAJ1_QEZLNP9dKgHP8Jd40bCid0aNP6A,6798
uutils/hf_uu/_train/full_fine_tuning.py,sha256=an2MHMB4MOIcRXBBYU_heoWngFBKuLAw2ehqLuUiRGw,3178
uutils/hf_uu/_train/readme.md,sha256=zywaBLnLJy_ItV7NbDp7mgni7yZ4pzztYHjCzn85qoA,102
uutils/hf_uu/_train/train_causal.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/hf_uu/_train/train_seq2seq.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/hf_uu/_train/sft/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/hf_uu/_train/sft/falcon_lambda_labs.py,sha256=owLK5HAcNZ-x8slkoYhvoNU8l8Yg_JjZjD8OrdSCXps,3795
uutils/hf_uu/_train/sft/falcon_peft.py,sha256=XTeJfK7T4WGyFeMMouebYCtykoyrUANoeBSlL_BDQiI,7879
uutils/hf_uu/_train/sft/qlora_ft.py,sha256=CEjsd1N60Od4vk_UsjTnKS9Q9dBZ5smqsR0iNiv3aY4,3069
uutils/hf_uu/train/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/hf_uu/train/qlora_unsloth_train.py,sha256=rUbjWq1z-MEqzbbtZZdk9ayapunTOPDQa-RIINhagPM,5897
uutils/hf_uu/train/readme.md,sha256=5eWdnNHxMvGV5jFyZ6kPTYlAFYe2-wCXWaFtLLztknM,465
uutils/hf_uu/train/reinit_and_smaller_llama2.py,sha256=c9WBldB1nQOnyDiFuToEGIWTLx9LatFW4x58ZXYBn-E,18938
uutils/hf_uu/train/simple_train.py,sha256=g3_LC3ZuMLaZ2kfwWspoZnTVp5ZXh1yylhlICzP4FMo,9076
uutils/hf_uu/train/simple_train2.py,sha256=eruAkUfgHnPokIXNicOoSuvOgEcsGYDQ5v4R1u3QcxI,16786
uutils/hf_uu/train/utils.py,sha256=cnCW1Pa857mmjtvQ33kH1zWiyag5L6bnVtgOjHNdpos,21405
uutils/jax_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/jax_uu/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/jax_uu/models/flash_attn.py,sha256=2Ht5qBi-G_wO5_WbcIYzYssAldA7m9gjWLTJU9Ymbus,97
uutils/jax_uu/models/layer_norm_autoregressive.py,sha256=EprAdCigLSj_D2O94nF75-iN0a8plKsLKyDufHf_ayg,215
uutils/jax_uu/models/mha_simple.py,sha256=SQ_ADF_aNh7QBzNzJDrXcqwC-X-b4o6Zi-g2KQWuxN4,9802
uutils/job_scheduler_uu/__init__.py,sha256=DrZrvvgTHqwr7RTCcGB0F6m83eChEWSulZyVYrCj4lI,1490
uutils/job_scheduler_uu/__main__.py,sha256=tg0P6R75d8c1lsfOLiHTT3UaIB7HyMJa3RXeSfx_ovc,136
uutils/job_scheduler_uu/scheduler.py,sha256=cpP4uHVDHL5b9nzUz3v7K71uxcSYJ-mLCXaC6t_KoGw,48298
uutils/job_scheduler_uu/start_watcher.sh,sha256=-jO91i2m8WnPf_GDB8C6TEO_UqQpYJt2u07_3o_nhew,2703
uutils/job_scheduler_uu/submit.py,sha256=7Q8kUjWzoLd7k-ZTszSCYHmZOY5sZ26JhlMkxeKKpXc,7910
uutils/logging_uu/__init__.py,sha256=zztiL3NEu5r5MKDPZMZEtE7EaRhgP6lT_Pu4LVccz1M,1119
uutils/logging_uu/wandb_logging/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/logging_uu/wandb_logging/common.py,sha256=JLp0V7xRA90ofqTfUMabzx9I-lI7KU1REnq9RGrV5ME,9749
uutils/logging_uu/wandb_logging/supervised_learning.py,sha256=1e8ZEpmBLrtWI9K0O3sM6rhrKXjK1wf9a2DRVzTX4MQ,19929
uutils/numpy_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/numpy_uu/common.py,sha256=L23vlhkQx4OVdhB1a7AgQu9_yXf1EoRJwB5AqM8UWCo,3944
uutils/plot/__init__.py,sha256=6Ulh2qDjBif1bFZBE1_hTWNwQbtuEHo_Ua-RNr0x4ZM,42769
uutils/plot/histograms_uu.py,sha256=E6ZxIXE0JzwE4fk2VmJtGzzcs1aEzqs9Ic7iqRk6C4k,12323
uutils/plot/image_visualization.py,sha256=ps90BZHKn-huKwbqvD_WpE_rYcvkaf6IBfYIgNAjyk0,8062
uutils/stats_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/stats_uu/ci_uu.py,sha256=Q_aQM-KsDW-2law2eu06hWqRIRJcYNdxc2xLmZijaUo,59
uutils/stats_uu/effect_size.py,sha256=7ZbJTrxhfXzRMi4E9avXPHmXHDcf9NjV-Q_s9NgeP5U,19385
uutils/stats_uu/overfitting.py,sha256=p5FT7Z4gbkFrCWBXAeallEDU74pZ4KvZrnn4eTAxlhk,4236
uutils/stats_uu/power.py,sha256=qYgHWpNvbuqjQdMNF_NAa3pqqHm2Pv8GLxsj4i3vfTY,6200
uutils/stats_uu/readme.md,sha256=uQQSZuBo7kggMDmtXQSsbdd_qq5Sq0Al5Wb_dYf7YCw,2374
uutils/stats_uu/anova_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/stats_uu/anova_uu/anova.py,sha256=LrdoKu1lfsU-aFak9KgaZO__eT1vH94VF83G0mE34iQ,9672
uutils/stats_uu/eps_none_zero_hypothesis_testing_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/stats_uu/lrt_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/stats_uu/p_values_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/stats_uu/p_values_uu/common.py,sha256=L-Tz81ptMix4nWqLx2SqJ-9fMO2zrPJa7irK6fbP2Zk,632
uutils/stats_uu/p_values_uu/t_test_uu.py,sha256=amKrmuCLpkNP7BfjV-6BGwwj96wKQ2--6IgVS-eTHOg,3933
uutils/stats_uu/p_values_uu/z_test_uu.py,sha256=rmJBKeHIdJTr1V12teIzmDPu4XRWf2VqPHkUuAOKgRY,1512
uutils/stats_uu/regression_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/stats_uu/regression_uu/r2.py,sha256=98y_Au3kibTWB4XwtATjKRJA4HXrUY_7ndch_hxLGu0,2037
uutils/theorem_proving/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/theorem_proving/readme.md,sha256=cNZ0Jry5Pd4514pgLlVqmlmGZYUDi3rB-btZLy1-XYg,1384
uutils/theorem_proving/isabelle/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/__init__.py,sha256=F9GJujkOI75vfJNlUO7zfyLTJ5F9fUv9d5sM_8SuUF4,127460
uutils/torch_uu/distributed.py,sha256=XBWFqBlWTG4vut2YC1ioZuKAqNkNlkjDSJ83DYRtM1w,32788
uutils/torch_uu/mit_trainer_code.py,sha256=DW3_hsoInsyMrAhAYm5IFLuAzqjdIVCheZRgNdRGNlA,9495
uutils/torch_uu/tensorboard.py,sha256=7usOkwX9x05APN7RdkqOD31qPTh9VyVT_rEwdBzfUXw,4738
uutils/torch_uu/agents/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/agents/common.py,sha256=5_iXfg21NiQDE1EGZ3L1VjuKRHTfzCfMJOkEbVw8HGM,112
uutils/torch_uu/agents/readme.md,sha256=6HEWLHfWKRZSiOexMmoH9mRLAjNNWo6-LD0QJkhzQhQ,1348
uutils/torch_uu/agents/supervised_learning.py,sha256=-47p1tvW4__lE0gP4_K2Od068upuBt84jK-pVJ1owLw,5372
uutils/torch_uu/agents/synth_agents.py,sha256=JTJ7J32w2W2x95IhAAk530oVpHA1sa7aKE8AzNP8ehw,20759
uutils/torch_uu/agents/tactic_predictor_tactician_agent.py,sha256=Q451P_ADRxs9cXZ-eVN_FdQKWbsMXqwJsqrtjplmJEI,12365
uutils/torch_uu/checkpointing_uu/__init__.py,sha256=DVtcVMTlQ_M3yukCW6dZ5YN6A0UgZeKzSo54yZ3xAvE,882
uutils/torch_uu/checkpointing_uu/meta_learning.py,sha256=2bB1mZEX3XuiBGBB0k-ESvJsBSwoG3FlswrUJc1-Zuc,8230
uutils/torch_uu/checkpointing_uu/supervised_learning.py,sha256=a3FmMeAJkUHm4GfnZ9anhu9t9PMuD0lYh6eiRakG5WU,4543
uutils/torch_uu/data_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/data_uu/hf_uu_data_preprocessing.py,sha256=U_ZUlLO71pIISB0GbDnzLuqGm9AJ15UTN6tJztnRdGA,5160
uutils/torch_uu/data_uu/hf_uu_dataset.py,sha256=2SlM5UrwC2Q87CEfdVUmoJCfQAJwZTOlOLKREqaGB_4,9335
uutils/torch_uu/data_uu/hf_uu_tokenizer.py,sha256=W6Nacu4K7GYhWB4Pg4iffz-VJYuxc9iYdrcXnpdhYRw,7949
uutils/torch_uu/data_uu/hf_uu_trainer.py,sha256=rjWZvLaseo27YdQz0-_G5pf91Ok3RPX0rAg23SwniVw,2432
uutils/torch_uu/data_uu/synthetic/dataloader_helper.py,sha256=MZlooHNmw5UWQUGFabTk3D_8mljHZWxfMrJqwP88wKY,4202
uutils/torch_uu/data_uu/synthetic/rand_fc_nn_const_mu_ls_gen.py,sha256=WnRj9q1qb-Seniv7EPyk0exACwSTwzFj5CmP0iX8YJQ,12888
uutils/torch_uu/data_uu/synthetic/rand_fc_nn_vec_mu_ls_gen.py,sha256=H4VjwdYrcGEymb2M6cgUlr0-onhxvwD2mGLrRstrfFo,20672
uutils/torch_uu/data_uu/synthetic/rand_fnn.py,sha256=dzlia4ESDHbFZeHqp0nxRaQVI5sR9068aSQEK2GfYdg,6801
uutils/torch_uu/dataloaders/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/dataloaders/cifar100.py,sha256=bCOVyt79a4EIRpFPSxUoHlgMMq0ywWWjiv4Z0tWYAZI,8105
uutils/torch_uu/dataloaders/cifar100fs_fc100.py,sha256=8_9ep2OwlZHE3fI4-AjoETu9LAkCxUcZezXOrKdVfyk,25079
uutils/torch_uu/dataloaders/common.py,sha256=-anVbWXkJdVGNcK2WmPR802lNNofDzwzpRzUgbGpceI,13049
uutils/torch_uu/dataloaders/data_loader_cifar.py,sha256=5dbkxijfb9lQVB60h0U4RUIKFmYQo-TTqXcF3bFb0ls,8539
uutils/torch_uu/dataloaders/download_coqgym_dataset.py,sha256=BkBY9nfIhl_kLwoUv9d2ZRBTXcE6Ukjfw6cNYED-sGo,3690
uutils/torch_uu/dataloaders/download_miniimagenet.py,sha256=HxhCdEISaah-JB9ekb_Pe3KNkqDlFpvg0dNUnU65ZuU,3734
uutils/torch_uu/dataloaders/helpers.py,sha256=go_0Vs77yLjiFZ7JBaPz6GWGFGZrZzDmqEFq_jwDIH8,15433
uutils/torch_uu/dataloaders/meta_lstm_dataloader.py,sha256=TxSSI-djZYPctlqcsKZwVKP-NkrGAA87jFdtQ56W_To,17599
uutils/torch_uu/dataloaders/miniimagenet_rfs.py,sha256=XXANBmyTLvmm2JqBirInLxgQriv5ZXxvlHvh6nNx2aw,13277
uutils/torch_uu/dataloaders/mnist.py,sha256=UVBCMfpnwvXnThBQX4PBTR2H-UwDrV765_E5PTtjPuA,7370
uutils/torch_uu/dataloaders/unzip_coqgym_dataset.py,sha256=BkBY9nfIhl_kLwoUv9d2ZRBTXcE6Ukjfw6cNYED-sGo,3690
uutils/torch_uu/dataloaders/mds_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/dataloaders/mds_uu/common.py,sha256=WV-pYnNDwTj5y0P3PIlp672Pqz5_V02MgoIdpKvl5Ok,1298
uutils/torch_uu/dataloaders/meta_learning/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/dataloaders/meta_learning/aircraft_l2l.py,sha256=aXNGN9clMQEaRZt7YXuuGJhYUmEx4qZ8WLKYqVaDZOI,4322
uutils/torch_uu/dataloaders/meta_learning/cifarfs_l2l.py,sha256=y_WKQF5PglQd0Y-Ev7MdhM6joi9qKtPxYGVLL5l9H5Q,4231
uutils/torch_uu/dataloaders/meta_learning/delaunay_l2l.py,sha256=3nSJB3Bs52Fk33Pz-RnIUQIm5HLLoHPNnzkHgBgE-xw,21031
uutils/torch_uu/dataloaders/meta_learning/flower_l2l.py,sha256=JXXw0Pcv2mPEFhp0cF8xr4VN02i3ctkYSHfLx9no0GY,4305
uutils/torch_uu/dataloaders/meta_learning/gaussian_1d_tasksets.py,sha256=567EYmq4JjRXlXSgfNA4ryG0ekaF-jWvtK2u3wSaZVg,18288
uutils/torch_uu/dataloaders/meta_learning/gaussian_nd_tasksets.py,sha256=qhs2oHAYcX7EgjcH56rpWpMdwCiAZQ6W_c5MCdTOQHE,13149
uutils/torch_uu/dataloaders/meta_learning/helpers.py,sha256=D0p7WpdQ9MiLeSFQGXRDOM9GGUqz5_YytLdmtdvdLFk,3158
uutils/torch_uu/dataloaders/meta_learning/l2l_ml_tasksets.py,sha256=QWDPgwbGg2de5Tpx6oNY3uNpdsLoearJVVMTWGZz8k4,24957
uutils/torch_uu/dataloaders/meta_learning/l2l_to_torchmeta_dataloader.py,sha256=eJU02b6RPYX8W1clri7ysmPiO2XOJGyk7PVg217rQPc,17506
uutils/torch_uu/dataloaders/meta_learning/mds_l2l.py,sha256=HR2M3IJSjQbknCqTmPLFQddIpShBMV9wT1d-TdhkJzc,23136
uutils/torch_uu/dataloaders/meta_learning/mini_imagenet_mi_l2l.py,sha256=hWHd_LKaiT-EdLREgl-T0WHUYZwtWCxlu2Ny0qW_E5o,13218
uutils/torch_uu/dataloaders/meta_learning/omniglot_l2l.py,sha256=s_DIPlCYvIsQCJcmJaHBAhcajco3H2-sCnMcEq5I-s4,10000
uutils/torch_uu/dataloaders/meta_learning/rfs_meta_learning_data_loaders.py,sha256=xLEybPcOvQVBPq-lB7DtL3kfNFpwJiXJe10hv64S3EQ,13058
uutils/torch_uu/dataloaders/meta_learning/torchmeta_ml_dataloaders.py,sha256=ZisMGfxP8KTgtKc4eznqz2NRcMT9N1Vwlol_x-yz9Oc,26603
uutils/torch_uu/dataloaders/meta_learning/transforms_cfg_rfs.py,sha256=MFyvulZQ5GTGZHgK-XexWDB8Ymgn_1YUsPXZjuJ4xE0,3243
uutils/torch_uu/dataloaders/usl/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/dataloaders/usl/usl_dataloaders.py,sha256=1wxk130q1J8XVfQmNM4WhkIZYD2SUla4czwldhdnq34,12367
uutils/torch_uu/dataloaders/usl/usl_patricks_l2l.py,sha256=n35fMSCXc4I2Q2oQf84QoEiYWYoUb8gxsNX_JKOC-Ew,77611
uutils/torch_uu/dataloaders/usl/usl_vggair.py,sha256=KtlDJ9UXH9dbmAKq4g5MwpkTYK_E8zTDWpj00jmqOXQ,5356
uutils/torch_uu/dataset/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/dataset/concate_dataset.py,sha256=Y5XLHhONNfTFzGZTB4EjG4GUwyo8BD4p0tf9LXVK_54,31384
uutils/torch_uu/dataset/delaunay_uu.py,sha256=q0AyDNgTLI1exXPUVoktoNBXL0ClG26o07aQY55Fx2I,32396
uutils/torch_uu/dataset/delauny_data_statistics_and_visualizations.py,sha256=6v7ocPghXQ-ONYL5KeOy3Gchemf01DNL__5GULpmsrM,7576
uutils/torch_uu/dataset/rfs_mini_imagenet.py,sha256=Nn766DOJG5WL_Q3oWzuLCGboBFgYd0Hk7Mlj9YRawdY,8205
uutils/torch_uu/dgl_uu/__init__.py,sha256=QwzZdljytcqg8g202taptlRSxJ2fYlRaFXcbERC8auk,91
uutils/torch_uu/eval/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/eval/eval.py,sha256=tCfm6MdymkzLhLQdFSUZ1MMiiHPpnl9ygYjVhkY18yc,3577
uutils/torch_uu/eval/my_eval_fewshot_rfs.py,sha256=LfB3ykYDoMxQ3nvA6DAxThsb9s8TT-I0k41QRn2ftMg,8536
uutils/torch_uu/eval/my_meta_eval_rfs.py,sha256=aOTHWScB4QUTekQaMH1iKjJrLtdSjcqMhOvXrCo9f1Y,8213
uutils/torch_uu/mains/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/mains/common.py,sha256=MuoZ9EcVI-O7xziOUHI1Vnap2Lm7zXfnZof82oLUyNY,19355
uutils/torch_uu/mains/main_meta_learning.py,sha256=aAOSvWwU4pKNh5TtcAJHrVCIK2g18ovSjw3erv9Bdys,21302
uutils/torch_uu/mains/main_sl_with_ddp.py,sha256=lRtfLBRtLLL_GvJHoXXvu2VjYUsl2JEbjVgX8kNJKs0,5514
uutils/torch_uu/mains/main_synth.py,sha256=WtSaOJAwLtjTBJmm1OQ4yhF0AMtDRW2gWBQ6afvBrCc,10507
uutils/torch_uu/mains/main_tree_nn.py,sha256=cH6EZ8UTOFRNV3copSvfUv548qLSY2Cz6Tlik2YZEO4,13592
uutils/torch_uu/meta_learners/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/meta_learners/license_higher.txt,sha256=KD6mzCmXoacNoASeCa35MXu2DKG1Enm2UZa4OmnhmWs,11323
uutils/torch_uu/meta_learners/license_pytorch.txt,sha256=4KjLyNmotrdI_4t4FqFHUhQzEpBbVnCiPNAFAmqQEPM,3206
uutils/torch_uu/meta_learners/maml_differentiable_optimizer.py,sha256=MuiEtq2mA_wN4ROA53Bc6Ecu0Sj34GFmASYCFwrY3xo,29607
uutils/torch_uu/meta_learners/maml_meta_learner.py,sha256=3TVd5buP0C5e-GQr9QM9WT1QY5-j7zJdkuiiRXmwgDM,21527
uutils/torch_uu/meta_learners/meta_lstm_meta_learner.py,sha256=tu0cUpfiolZGPgfVd_y3YVDP-a3D271M5LJonUUtY5k,15357
uutils/torch_uu/meta_learners/notes_license.txt.md,sha256=8fh7oBDUUxD3vVKIZH17JUx-IirmtY3hKGsD3gzTN5E,430
uutils/torch_uu/meta_learners/pretrain_convergence.py,sha256=NtgMGHhWaLGS_zH7E4zh-jOkARQgOgfNSZ5otekUNX4,16630
uutils/torch_uu/metrics/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/metrics/confidence_intervals.py,sha256=q8H8YeKZSpf_uI7YeKfcMICwv4AM6YBaiDva1X8cImQ,21567
uutils/torch_uu/metrics/main_task2vec_div_compute_vision.py,sha256=hWqT4I-beGxFyZwroMhfD-CFRh69Jm06vFKGyIcfEY4,41020
uutils/torch_uu/metrics/metrics.py,sha256=on9U1aa35B93BpI0mH7_P18SeWu6Ygl3YiF8L-BXp1I,6556
uutils/torch_uu/metrics/readme.md,sha256=z_-kGITm3qaHMsQrGaz7NHc3W2KLz9GYXO3CfKr7bXA,8978
uutils/torch_uu/metrics/cca/LICENSE,sha256=z8d0m5b2O9McPEK1xHG_dWgUBT6EfBDz6wA0F7xSPTA,11358
uutils/torch_uu/metrics/cca/NOTICE,sha256=CkjjCwJ6mtSGgUMYX-jhryodAzQ_b94N78sZccyU49c,206
uutils/torch_uu/metrics/cca/NOTICE.md,sha256=1YwPqrEqmtNeIPPh-5J6fyyCFm30lsPalzZ0OOl27Xw,626
uutils/torch_uu/metrics/cca/cca_core.py,sha256=Vu-YyyccKUw36KDH4sA7Z5PrXNADyGbWWcYCW4VUmWU,16395
uutils/torch_uu/metrics/cca/dft_ccas.py,sha256=_EiCOOHFmDsYNESTE5VOhytTvt8JvmtUo7Qtt7eDbqE,6790
uutils/torch_uu/metrics/cca/numpy_pca.py,sha256=KCIASXGyVeSt3thrsk1pdWAXv9MQuUXAqf19RT_pXT4,1621
uutils/torch_uu/metrics/cca/numpy_pls.py,sha256=3OhLgaARQ6FUxA7EVBm0iLhe30HKahMtovcLQUl5vAk,4008
uutils/torch_uu/metrics/cca/pwcca.py,sha256=kKhPrkDLdtkxp_ktnNSw9sWVYRqevufCnOz8kQ7QE8M,4051
uutils/torch_uu/metrics/cca/readme.md,sha256=x-SPKwxAaZgXwv4rHI8KVJFlvzrKlxV_OSp0j7oPR94,2475
uutils/torch_uu/metrics/cca/uutils_cca_core_addendums.py,sha256=NDZDiZckMn6Kzn-ADxScdq1owTqRteUdgVNhuYg641I,2608
uutils/torch_uu/metrics/complexity/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/metrics/complexity/task2vec_norm_complexity.py,sha256=wYTrDyE604MJ_GLKc8_xUSRhULl73Pu4gJNQ0qr7ijI,4047
uutils/torch_uu/metrics/diversity/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/metrics/diversity/diversity.py,sha256=xoY4W5-g8nKJWix79n2hrWYpS49OhR-r8hKBQChYtrE,45568
uutils/torch_uu/metrics/diversity/task2vec_based_metrics/NOTICE.md,sha256=m5I2ZKhbZTxfxxze3o3XZZrLXveJrEGOn61K1cZC46Y,95
uutils/torch_uu/metrics/diversity/task2vec_based_metrics/README.md,sha256=wAwzyUX5KFvGZvCGsKIujoB1rGo0UoezzIJ9qRzwpXM,1109
uutils/torch_uu/metrics/diversity/task2vec_based_metrics/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/metrics/diversity/task2vec_based_metrics/models.py,sha256=JfUbHOGY-jdUzZcqdw-AAKYqATbWyx6MilZ4FesTIJo,3256
uutils/torch_uu/metrics/diversity/task2vec_based_metrics/small_datasets_example_from_task2vec.py,sha256=gv-G5wdfFvm35dLAnFmHZZY4ImhyFrOLrM11yJiQLAA,1778
uutils/torch_uu/metrics/diversity/task2vec_based_metrics/task2vec.py,sha256=hA1c0sl79TRjRO0cZG74nVNYKq0LyYSZKt8oin9KuD8,17754
uutils/torch_uu/metrics/diversity/task2vec_based_metrics/task_similarity.py,sha256=4F6SBpICztlTuIo3pDgiHpGE46WkaX_QTz-tYPj_oZA,9483
uutils/torch_uu/metrics/diversity/task2vec_based_metrics/utils.py,sha256=ZtOqp__b1I4uYicsvqBFUdD1DX6Dk6atSXB5iiyFauo,2053
uutils/torch_uu/metrics/diversity/task2vec_based_metrics/variational.py,sha256=lHHHzD1p5I9rYm87EZlBsSDEb0ZLuwV84Gu2CkNnw_4,5430
uutils/torch_uu/models/__init__.py,sha256=QEcj7RdNro8hoGhPWyt6hpLvPlDC6-LYDDyBCovknXM,11212
uutils/torch_uu/models/custom_layers.py,sha256=YIDkrkuMoZmYq4YiSom1q4qNUNGEgyTfTSTWrF06Hhw,16744
uutils/torch_uu/models/fullyconnected.py,sha256=EftkyXHsTqT8c7VB9fhjF0aCIZ7ec9ZMK9Nrr6QEDsI,4454
uutils/torch_uu/models/hbf.py,sha256=s5VLXamz6hylCNwe6ZDxZj2uRNWtG1NLv3dRHXMkrYE,3464
uutils/torch_uu/models/kcnn.py,sha256=zL1CoL1OVIpl9shxKQ6QiVLKMrgKPvKK7B1ABiF-aQg,5293
uutils/torch_uu/models/l2l_models.py,sha256=diHhxV1fPtKNuVygsWJ5ocPMBZq27rAVU1sVaorpjts,5077
uutils/torch_uu/models/learner_from_opt_as_few_shot_paper.py,sha256=54T5TZ_jMuhFdYlFVfQR9yFuuYhOvKJ789kZ9XycR3I,10905
uutils/torch_uu/models/linear_model_from_nn.py,sha256=gnIdxHvtqfNOc24x0EXaezW719hE32bTE-5De03FCbE,11272
uutils/torch_uu/models/mit_nn_models.py,sha256=f49no_WNb5yb_ZpVCzL1KXePaZ20aweOAdZRfZ-PpNA,16820
uutils/torch_uu/models/probe_networks.py,sha256=92X9HH0TjFkWUVc7-F7fv4VXaTGZTkbFVmAfGaofK8k,2959
uutils/torch_uu/models/resnet_rfs.py,sha256=r2yuf4rTcRwtxgz3pnaWEkIaYAvNBZJWK_DJHipBRXU,21242
uutils/torch_uu/models/rfs_convnet.py,sha256=jqfBLjnJZ2RHmZ2R9cih67Cv5cuL5xf9BgykqBanxkc,3182
uutils/torch_uu/models/spp.py,sha256=sAEOUzvU_aYkDB1PPh3cPcKXvuSYPQQIqBAY_pfomCE,1391
uutils/torch_uu/models/hf_uu/__init__.py,sha256=Z9xdowTJSySFFzLf07aTprtDfoijS3viWocNg2tyqws,4259
uutils/torch_uu/models/hf_uu/t5_uu.py,sha256=ox5ofHrbSY7t9-r1iYVdsqJDZNEQH2CMKoqdWbwPAHU,372
uutils/torch_uu/models/hf_uu/vit_uu.py,sha256=q0AKJvnqJygKsKeBuPbO-tEot17cfICJCAQw08M4MBA,22361
uutils/torch_uu/optim_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/optim_uu/adafactor_uu.py,sha256=t6BzpinhdqcfNEjxAonXLSXPdZGyA_OwtmQ6H2_Wp1Q,9035
uutils/torch_uu/optim_uu/adam_uu.py,sha256=hboX64fDnanYou68oaJD_Q-_NvTYWnjfBWkMuwaVuDE,2473
uutils/torch_uu/optim_uu/common.py,sha256=dReLiKB9bSM-DX3u_kpsB2qdIxxTDuBvF2ZaQg9w_Co,764
uutils/torch_uu/optim_uu/optimizers.py,sha256=Oe6ekpDFEpHlQlR7DQGVAGwYJXh2lvPWZiApnN6gryk,292
uutils/torch_uu/optim_uu/sgd_uu.py,sha256=gVlLs_gqNxp9AI4XnTjqZpoTBNI4giKWxPfTzH_4AKw,3117
uutils/torch_uu/scaling_laws/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/scaling_laws/bnsl.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/scaling_laws/chinchilla.py,sha256=Ao5D_NE7S429c_o2AyTYuEHILVXyamE8_UDWSmkAqbo,13371
uutils/torch_uu/scaling_laws/flops_estimations.py,sha256=R-NsxlYaIRs1ITrGpdFXHr2po9mQ-C6ylA0bDPP9lOU,1371
uutils/torch_uu/scaling_laws/llama.py,sha256=uCXG-yNJ3Ata1-MiM_MY09f_0K7hR4DGQjq3p60S0TU,575
uutils/torch_uu/torch_geometric/__init__.py,sha256=_E9dcUwjLZPk5E2t8ffkgkoWtCNbnvXn31tEEr720FA,902
uutils/torch_uu/training/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/torch_uu/training/common.py,sha256=Ud3-q5Hi4oNwWthUKlJp32aIJ-uk9BQ9BsHCkZAxWNY,15598
uutils/torch_uu/training/meta_training.py,sha256=UJqDQaW-DXv2_5VXf3AWXz7KFA2o2USyb8Z083668Mk,11323
uutils/torch_uu/training/supervised_learning.py,sha256=JPeEV2X26Fds56FRmgTvz4zrqMjoYoxStBxwxyy03xY,9073
uutils/wandb_uu/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
uutils/wandb_uu/common.py,sha256=6URE_i7MHqVIs9KmodsHcujuonZAu0XLM56FW2IFeow,1437
uutils/wandb_uu/sweeps_common.py,sha256=eFWAjKD4kcq5tSa6DevrbUSYGG9dV-Pyk8jiMQOsrKY,6909
ultimate_utils-0.10.7.dist-info/METADATA,sha256=e9PLgKPiqrhKSecHyDM-JPRMeWUHbE8Qp1XIqCM4Sek,7896
ultimate_utils-0.10.7.dist-info/WHEEL,sha256=QccIxa26bgl1E6uMy58deGWi-0aeIkkangHcxk2kWfw,87
ultimate_utils-0.10.7.dist-info/licenses/LICENSE,sha256=46bSWmNADt6934sH3Fs0yF6k4_k6VCUMilx9xAFBK-M,11212
ultimate_utils-0.10.7.dist-info/RECORD,,
