{
 "format": "oscr-script-manifest/1",
 "repository": "github.com/ti55987/lasenet",
 "url": "https://github.com/ti55987/lasenet",
 "host": "github.com",
 "commit": "579c6bdadd7a66ab7b7b865638007d85fca2b3d9",
 "license": "MIT",
 "license_confirmed_by": "license file LICENSE",
 "redistribution": "yes",
 "files": [
  {
   "path": "LICENSE",
   "sha256": "8e2644127e8b00aa59bf118f47eac10ecc08effc9d9892eff341caf4a829806f",
   "language": "License",
   "lines": 21,
   "truncated": false,
   "block": 20,
   "row": 8735
  },
  {
   "path": "README.md",
   "sha256": "70d06a07686965b7720ab5440b54a1631a9aab745ca20d29876a9415870b0515",
   "language": "Text",
   "lines": 66,
   "truncated": false,
   "block": 21,
   "row": 3067
  },
  {
   "path": "benchmarks/em/fit_glmhmm_em.py",
   "sha256": "ffc3a85b2be2455fe4c5f4c669aed6b2a2d21b876747629c37973aaffe2253bc",
   "language": "Python",
   "lines": 71,
   "truncated": false,
   "block": 20,
   "row": 16696
  },
  {
   "path": "benchmarks/get_4prl_latent.py",
   "sha256": "8ca07ed601596730be0cfddf60ccfb0414fa7483c493705cb9541856a554ef33",
   "language": "Python",
   "lines": 79,
   "truncated": false,
   "block": 20,
   "row": 16059
  },
  {
   "path": "benchmarks/map/fitPrlMAP.m",
   "sha256": "4f5226aa9f06e64c955c89f3e2333befdf8005321599db54f0c5ca0c95a55545",
   "language": "MATLAB",
   "lines": 111,
   "truncated": false,
   "block": 20,
   "row": 10536
  },
  {
   "path": "benchmarks/mle/fitPrlMLE.m",
   "sha256": "e05a1636dfaf8906afa34245cdef4ebfffb02b015bd928f90ce1fe606d57365b",
   "language": "MATLAB",
   "lines": 112,
   "truncated": false,
   "block": 20,
   "row": 10508
  },
  {
   "path": "benchmarks/smc/fit_hrl_pf.py",
   "sha256": "9561500f2c230b6b9f2df20cb71a0c73d6e10729220bc3c2407aae2a40ef85ce",
   "language": "Python",
   "lines": 202,
   "truncated": false,
   "block": 20,
   "row": 19354
  },
  {
   "path": "colab_example/lasenet.ipynb",
   "sha256": "4d6f0f14de647ff00de1d616b56f0985df4d35443d95cced0d1b9ba239d09475",
   "language": "Jupyter",
   "lines": 310,
   "truncated": false,
   "block": 20,
   "row": 8103
  },
  {
   "path": "eval.ipynb",
   "sha256": "0d5b38ae1fe914900e138219b4d86700913290feb7e1f935effcff6580ab77e1",
   "language": "Jupyter",
   "lines": 226,
   "truncated": false,
   "block": 20,
   "row": 8058
  },
  {
   "path": "mice_fitting/figures_real_data.ipynb",
   "sha256": "2de8a76637b429e9c6b055180396bc3b7cf58274797b262c868d3964b71f374d",
   "language": "Jupyter",
   "lines": 687,
   "truncated": false,
   "block": 20,
   "row": 8469
  },
  {
   "path": "pretrained.sh",
   "sha256": "7e3d01c83fa7b78bcfd1aee29067f16887c985875882348713fd1a6614dae630",
   "language": "Shell",
   "lines": 13,
   "truncated": false,
   "block": 21,
   "row": 1921
  },
  {
   "path": "simulation/glmhmm/simulate_glmhmm.py",
   "sha256": "7762da83a5236fe8111c5ed94fad6b8824ab0fabe9b0ef82fac20e950f5b45ae",
   "language": "Python",
   "lines": 184,
   "truncated": false,
   "block": 20,
   "row": 18801
  },
  {
   "path": "simulation/hrl/simulate_hrl.py",
   "sha256": "20b6d397677e7bb5ee71f81e6ea7be9a16f6626f1022ebd663833b6e6e35d0d8",
   "language": "Python",
   "lines": 126,
   "truncated": false,
   "block": 20,
   "row": 17700
  },
  {
   "path": "simulation/prl/simulate_4prl.py",
   "sha256": "5ec0894526016117edbad5315ebde5b38d2f7847ef9b2a50b7540795a2109983",
   "language": "Python",
   "lines": 124,
   "truncated": false,
   "block": 20,
   "row": 18082
  },
  {
   "path": "simulation/simulate.ipynb",
   "sha256": "c0ecd251fa6bc7e7c00c1f60b272e8cc780119885ab9ad44e799b835db4f7321",
   "language": "Jupyter",
   "lines": 82,
   "truncated": false,
   "block": 20,
   "row": 7732
  },
  {
   "path": "training.ipynb",
   "sha256": "900b2af7c123259aac3c5eeb2053a130960ac3f02ad79bba71f5e8960a5076db",
   "language": "Jupyter",
   "lines": 275,
   "truncated": false,
   "block": 20,
   "row": 8061
  },
  {
   "path": "training/evi_models.py",
   "sha256": "7a954fb97ba189847191cbe096d450a9b76c052f7d372ba082bdfb745c8ef35c",
   "language": "Python",
   "lines": 54,
   "truncated": false,
   "block": 20,
   "row": 15294
  },
  {
   "path": "training/models.py",
   "sha256": "6935c8b8192a85b4f8681fabb76058159400242b67949d45983d2dfad834fb66",
   "language": "Python",
   "lines": 49,
   "truncated": false,
   "block": 20,
   "row": 14962
  },
  {
   "path": "utils/behavior_utils.py",
   "sha256": "7a8bdd92e2fdf2afda0b1c6959b6afd23a012e4b65e9274e0911d0dfecbf9d66",
   "language": "Python",
   "lines": 58,
   "truncated": false,
   "block": 20,
   "row": 16199
  },
  {
   "path": "utils/constants.py",
   "sha256": "35e1f8e7a02fe2bbb338a40319e5fe9c17723e357a4406497ab8b65ac2a82cea",
   "language": "Python",
   "lines": 4,
   "truncated": false,
   "block": 20,
   "row": 12663
  },
  {
   "path": "utils/eval_utils.py",
   "sha256": "e5f98c7aff00c25f8c9d5fdd13fc0c6c0e5f4ed361256ca803096b643113ee19",
   "language": "Python",
   "lines": 38,
   "truncated": false,
   "block": 20,
   "row": 14705
  },
  {
   "path": "utils/feature_utils.py",
   "sha256": "163e20ec90b3afd9b3b8b2c92cc3f49885a8b16e81c6d6e07844f92e20118f83",
   "language": "Python",
   "lines": 76,
   "truncated": false,
   "block": 20,
   "row": 16799
  },
  {
   "path": "utils/training_utils.py",
   "sha256": "0f91ed7e013aaadc0a9288520b6ccc5451f346a6b56a621a5cba70f36fea0223",
   "language": "Python",
   "lines": 20,
   "truncated": false,
   "block": 20,
   "row": 13500
  }
 ]
}