cebra/__init__.py,sha256=qKpO6leN5bGRKKaqRRgQtTy6AjYo3MFBnQ9GxuSZ66Q,4403
cebra/__main__.py,sha256=fS6abFIzl3snDs3gO_PM0v8wppr4nb-_qoH3r3Y355g,3162
cebra/config.py,sha256=ljhnKj_tSsytF1MoXaSH-_m1pztKpNgv0Hrr0sYGYdo,7560
cebra/grid_search.py,sha256=RFkYMJzzh9nXE7XuokMFatnV6JUC13DqHqFkqQXYFf8,22426
cebra/helper.py,sha256=8K71uOroTZZMQhR8fUMZdQvdGDP3lIHAxdbscNasgRM,5601
cebra/io.py,sha256=xYNzzNxEKU7k225yC-4ljINJVzx8Gjv660MJ6dxtCN8,9480
cebra/registry.py,sha256=2IeDeawto2KJ24R6EwizSjkUbhw87TwERFP-lmFl6R4,13685
cebra/data/__init__.py,sha256=91iW1flfrZDAblVCGeSC2u6woWkI37pZnolVZNkjQMY,2602
cebra/data/assets.py,sha256=V3dqooo6vRfJs4uWbU8z9FNYV7mIj89kGzCvnNL39x4,5139
cebra/data/base.py,sha256=Mi7wceBwLfhxWKHqe7oeQJZbNHCslwK1S-Frmpm_b0A,9457
cebra/data/datasets.py,sha256=2tB8_EbhS_MmfB4VU0xnd6O_EWwc3ovAsrpuU0uQfCY,9577
cebra/data/datatypes.py,sha256=yqidkPbKlpBI290cyPg_A8CgmmahmxlJ0YHYUTD0M-k,5844
cebra/data/helper.py,sha256=ubizkYqT6sbionPq5_YP5jxTN01uNQgwIVvVzqftxJk,18677
cebra/data/load.py,sha256=vPUPNhO8uzosn441uC85fv_MsNQuQtSPPfP6O_MnkPw,27120
cebra/data/multi_session.py,sha256=ag-lKrU6mq9MwMXRdlpq3uncylBcUbgTGZaY_2oSlXg,5669
cebra/data/single_session.py,sha256=_F8Tp7Y0vDiuF07djpcqmITG4StqFQ04Yg4mLDMQdm8,17558
cebra/datasets/__init__.py,sha256=A5lQLkj3WcBis6MZGrlnqvIjU__qH8YGuC-11CMlHPM,3615
cebra/datasets/demo.py,sha256=HIsc7ijHAn9YDvF61Q3tYuyl5J7wv-LuIGz7m73I4mM,4623
cebra/datasets/gaussian_mixture.py,sha256=7ZsmLJPCdoP3NYHd7U-hw5kC_H9OeLDuQSuw8oiLVKQ,2967
cebra/datasets/generate_synthetic_data.py,sha256=ePXZ-f_CqIeQ9E8dZJRFcOoKHGnPnzoSBO09SIwSfiA,7595
cebra/datasets/hippocampus.py,sha256=M-E2M_TZ-2rLo3OLWR1tFUOZydgT08dTn312UAd7RHc,12252
cebra/datasets/make_neuropixel.py,sha256=JX7uv1CR5SDp_E5nAT39bcc6nzxIzrn1F0-7tt303Gc,10522
cebra/datasets/monkey_reaching.py,sha256=yhTkNShEoHbB1e7Miw5OtyKaDT8ms_IQq-fqyFPsY1k,21818
cebra/datasets/poisson.py,sha256=tjBKRO3RIlk2pGWwIPGGoxeo6q1BaRY03HLkui868ig,9377
cebra/datasets/save_dataset.py,sha256=8Edetx5cu4qRmJkUr2TFl-tHZXZrW_-Zjx-u_5O2aUc,4270
cebra/datasets/synthetic_data.py,sha256=DTglhsDjEZH_vIwcobfuWZIREIFBMVqsJksTGjOpAcc,4426
cebra/datasets/allen/__init__.py,sha256=DckL3YdHvBHO49_Re0fCQeKfX4Iut01pBNKevkqAvwk,1434
cebra/datasets/allen/ca_movie.py,sha256=rQxsjZG9yDqmucl-sUJYavDYWQjt5_NpuWMZXlPUiP4,8921
cebra/datasets/allen/ca_movie_decoding.py,sha256=ZxLD0NMwpDq0fitbgBArIp9LxNbBbUEvRsPb3KCUyiU,14269
cebra/datasets/allen/combined.py,sha256=Gk1dAy1znKAvd19THSXcq7scrqtese2AH7ukm2qUhBs,6251
cebra/datasets/allen/make_neuropixel.py,sha256=ZX4hj3dxHYwYF_wWvgcrOdbieGGgtK8wDslW_czhu_Q,10679
cebra/datasets/allen/neuropixel_movie.py,sha256=zYjm2NVAKhtv9XqZV-h5ulgfQhp4TmnIgJnRyGTPQo4,3957
cebra/datasets/allen/neuropixel_movie_decoding.py,sha256=5SXRsTlCpoMWo7B_lkegy9HL3NpsmgNEssp3ZyBbuK4,8408
cebra/datasets/allen/single_session_ca.py,sha256=JtISndbm8YDU0hBa2MdSG392aUfutg7oY6oBKMVsqpw,16694
cebra/distributions/__init__.py,sha256=zDuVTFMOC5V5Zeudm3r_jM10Ip8cDb-TmDWyjBC5bkc,2650
cebra/distributions/base.py,sha256=gLMkcQFyKGzlmJR74pP40xcXf_bfznW1dgk50ckUgno,6430
cebra/distributions/continuous.py,sha256=ZNAVyRLRYnoOueThpsVp0mGkSlCUE7seCnbzXv9IAaQ,12721
cebra/distributions/discrete.py,sha256=KohAc5T0GSMgxH-FLsSGXeafQ3zDgQxgR_Z5UhGw3Bg,6092
cebra/distributions/index.py,sha256=iHssY6_bCKFjvdNisCro_EfGbTY6_al62SpOAlsXvNY,11130
cebra/distributions/mixed.py,sha256=A69EGG_AT5Z_XKJcwz800W4pxZvCnCJZF1pwn2eQfco,5729
cebra/distributions/multisession.py,sha256=i4B_l8m-YSUEyxB5eCNGXi0P7cEOYU1aETPMEgKdtM8,10409
cebra/integrations/__init__.py,sha256=ipQlJeQ38FAYAK1-ueSCfKyVLR1DwiSUyl6UXtGgAjY,1657
cebra/integrations/deeplabcut.py,sha256=QVhug-zJIcTCKp8R4_lZxzfc3pixzstLm4cfJNzIaq4,11564
cebra/integrations/matplotlib.py,sha256=rVq9swnK-F8ZeNlb8t4Ol0qyLakviz2yiD75Q0fwRws,47780
cebra/integrations/plotly.py,sha256=keXuZI3N10bB-TR5Mbjh8fvsC1lv7-tHsd-Fjya8Z1o,9238
cebra/integrations/sklearn/__init__.py,sha256=KFRKjoVLehucKknk4-I081KyBsd-gAEGPtAkxa5DhoU,1533
cebra/integrations/sklearn/cebra.py,sha256=JiQf_GvWfe3mlmHnHbrjV8xDEhAvv-0ILs97p-OO4hg,64719
cebra/integrations/sklearn/dataset.py,sha256=SoBLtD59x3Fb4hbKXmfAp57O2dUF_ducWLMZbpFe8Bg,7113
cebra/integrations/sklearn/decoder.py,sha256=hX620Et5JflrGxhpDwQ_L7xW6Dvp_tePf2VHevjxudI,7806
cebra/integrations/sklearn/helpers.py,sha256=YXkgrssQb6pT61Z-nzl9NB1MjHcGDjxPxGlOQ2LEMh0,5961
cebra/integrations/sklearn/metrics.py,sha256=3DEu5zZWZ3r7UNrJLxO4jgkFc4oW_SHwTdnxm2MMHfI,17224
cebra/integrations/sklearn/utils.py,sha256=VA8g_NhG7up_wjZgPbpcmyAL8_JoX3p0HMQLmRffwdY,6270
cebra/models/__init__.py,sha256=x_1HUKwx9zyZQaGU1tY6EagytdbVDB0PR77GYQLykow,1528
cebra/models/criterions.py,sha256=m5278pkvLse89l0ajggSAzKDoKJQGzgkncR-CF4f888,11744
cebra/models/layers.py,sha256=6nyHoZSJC1lsUw9IBKGr1nUOeMcJfUPvUTU7fJOJJnU,3338
cebra/models/model.py,sha256=mkY9pxHiUQD3VwJvN-EZof06kIQS1T70FrXC5XX8OOA,29180
cebra/models/multiobjective.py,sha256=hPRDAmRRlb_E7aszsioEiAxRVyijiE3weuNx9RuSgu4,6525
cebra/models/projector.py,sha256=Fy6eT7oTdcf2vMm5N4bO1fCj5yvoooXV6nIdcTuiPmU,4391
cebra/solver/__init__.py,sha256=2DEmYqtOmurhWOEq08EBOT0seefaewDRmVjRemsYEHE,1745
cebra/solver/base.py,sha256=0YkgRffqtXybN1ikWE2wLF3jJ7Smj2pJqTS8l38onhc,17556
cebra/solver/multi_session.py,sha256=NOhKxi_7z6JFXNY4n1l28i5HvfdBAMW308LZbt2O7Cw,6495
cebra/solver/single_session.py,sha256=g8uAktIHhfImpdwvupxjCdv3sdmK7YNdC11PzYU9hBU,8087
cebra/solver/supervised.py,sha256=Mf_TpTzDX3BKSC8kzw0VPFmDlSGAkm26EEmx466Rnck,3669
cebra/solver/util.py,sha256=gBmYmE2tRtXAjgfEUxswFrYO2l8yoNQcAAFFMXtKOTI,3499
cebra-0.4.0.dist-info/LICENSE.md,sha256=9R84faGQXS8aoGhzmajvyfj3RVCtS9GDn8uxk1m5AAE,15548
cebra-0.4.0.dist-info/METADATA,sha256=MuEiPuumFxCD8qcZPgFFGzC-VYv2n5vc3rUn013pNhI,5779
cebra-0.4.0.dist-info/WHEEL,sha256=-G_t0oGuE7UD0DrSpVZnq1hHMBV9DD2XkS5v7XpmTnk,110
cebra-0.4.0.dist-info/top_level.txt,sha256=kxtIcqPdVoyvVKIdrmZpkvEVIEeJ8TNksbT1S1rN3Tw,6
cebra-0.4.0.dist-info/RECORD,,
