MCPcopy Create free account

hub / github.com/ZFTurbo/Music-Source-Separation-Training / functions

Functions993 in github.com/ZFTurbo/Music-Source-Separation-Training

⨍ Functions 993◇ Types & classes 292
↓ 1 callersFunctionunpack_one
(t, ps, pattern)
models/bs_roformer/mel_band_roformer_experimental.py:38
↓ 1 callersFunctionunpack_one
(t, ps, pattern)
models/bs_roformer/bs_roformer_experimental.py:35
↓ 1 callersFunctionunpack_one
(t, ps, pattern)
models/scnet_unofficial/scnet.py:35
↓ 1 callersFunctionunpack_one
(t, ps, pattern)
models/bs_mamba2_code/bs_mamba2.py:53
↓ 1 callersFunctionvalidate_sndfile_subtype
(args)
utils/settings.py:239
↓ 1 callersFunctionwandb_init
Initialize Weights & Biases (wandb) for experiment tracking. Depending on the provided arguments, sets up wandb in one of three modes: -
utils/settings.py:563
↓ 1 callersFunctionwrite_results_in_file
Write accumulated log messages to a results file. Creates (or overwrites) a `results.txt` file inside `store_dir` and writes each entry
utils/settings.py:439
FunctionDivideAndRemasterDataModule
( data_root: str = "$DATA_ROOT/DnR/v2", batch_size: int = 2, num_workers: int = 8,
models/bandit/core/data/dnr/datamodule.py:14
FunctionMUSDB18DataModule
( data_root: str = "$DATA_ROOT/MUSDB18/HQ", target_stem: str = "vocals", batch_size: i
models/bandit/core/data/musdb/datamodule.py:14
Method__call__
(self, x)
models/upernet_swin_transformers.py:14
Method__call__
(self, x)
models/mdx23c_tfc_tdf_v3.py:13
Method__call__
(self, x)
models/torchseg_models.py:13
Method__call__
(self, x)
models/segm_models.py:13
Method__getitem__
(self, index)
train_accelerate.py:87
Method__getitem__
(self, index)
utils/dataset.py:298
Method__getitem__
(self, index: int)
models/bandit/core/data/augmented.py:28
Method__getitem__
(self, index: int)
models/bandit/core/data/dnr/dataset.py:213
Method__getitem__
(self, item: int)
models/bandit/core/data/dnr/dataset.py:292
Method__getitem__
(self, index: int)
models/bandit/core/data/dnr/dataset.py:342
Method__getitem__
(self, index: int)
models/bandit/core/data/musdb/dataset.py:52
Method__getitem__
(self, index: int)
models/bandit/core/data/musdb/dataset.py:160
Method__getitem__
(self, index: int)
models/bandit/core/data/musdb/dataset.py:202
Method__init__
(self, args)
train_accelerate.py:74
Method__init__
( self, params: Parameters, lr: float = 2e-2, momentum: float = 0.95,
utils/muon.py:271
Method__init__
( self, params: Parameters, lr: float = 2e-2, betas: Betas = (0.9, 0.95),
utils/muon.py:473
Method__init__
( self, params: Parameters, lr: float = 5e-2, momentum: float = 0.95,
utils/muon.py:660
Method__init__
(self, config, data_path, metadata_path="metadata.pkl", dataset_type=1, batch_size=None, verbose=True)
utils/dataset.py:244
Method__init__
(self, parent, id=wx.ID_ANY, value="", style=0)
gui/gui-wx.py:48
Method__init__
(self, parent, title, *args, **kwargs)
gui/gui-wx.py:54
Method__init__
(self, parent, text)
gui/gui-wx.py:85
Method__init__
(self, parent)
gui/gui-wx.py:576
Method__init__
(self, in_c, out_c, scale, norm, act)
models/upernet_swin_transformers.py:81
Method__init__
(self, in_c, out_c, scale, norm, act)
models/upernet_swin_transformers.py:94
Method__init__
(self, in_c, c, l, f, bn, norm, act)
models/upernet_swin_transformers.py:107
Method__init__
(self, config)
models/upernet_swin_transformers.py:148
Method__init__
( self, dim, dim_inputs: Tuple[int, ...], depth, m
models/mel_band_conformer.py:62
Method__init__
( self, dim, dim_inputs: Tuple[int, ...] )
models/mel_band_conformer.py:99
Method__init__
( self, dim: int, *, depth: int, stereo: bool = False, num_ste
models/mel_band_conformer.py:130
Method__init__
( self, core: NeuralModel, n_fft: int = 4096, hop_length: int = 1024,
models/conformer_model.py:79
Method__init__
(self, *, n_fft: int, hop_length: int, center: bool = True, pad_mode: str = "reflect")
models/mdx23c_tfc_tdf_v3_with_STHT.py:9
Method__init__
(self, in_c, out_c, scale, norm, act)
models/mdx23c_tfc_tdf_v3_with_STHT.py:139
Method__init__
(self, in_c, c, l, f, bn, norm, act)
models/mdx23c_tfc_tdf_v3_with_STHT.py:152
Method__init__
(self, config)
models/mdx23c_tfc_tdf_v3_with_STHT.py:193
Method__init__
Args: sources (list[str]): list of source names. audio_channels (int): input/output audio channels. chann
models/demucs4ht.py:57
Method__init__
(self, in_c, out_c, scale, norm, act)
models/mdx23c_tfc_tdf_v3.py:74
Method__init__
(self, in_c, out_c, scale, norm, act)
models/mdx23c_tfc_tdf_v3.py:87
Method__init__
(self, in_c, c, l, f, bn, norm, act)
models/mdx23c_tfc_tdf_v3.py:100
Method__init__
(self, config)
models/mdx23c_tfc_tdf_v3.py:141
Method__init__
(self, in_channels)
models/ts_bs_mamba2.py:18
Method__init__
(self, input_size, hidden_size, dropout=0., bidirectional=True)
models/ts_bs_mamba2.py:91
Method__init__
(self, in_channel, nband=7)
models/ts_bs_mamba2.py:114
Method__init__
(self, sr=44100, win=2048, stride=512, feature_dim=128, num_repeat_mask=8, num_repeat_map=4, num_output=4)
models/ts_bs_mamba2.py:141
Method__init__
(self, config)
models/torchseg_models.py:191
Method__init__
(self, d: int, eps: float = 1e-5)
models/ex_bi_mamba2.py:14
Method__init__
(self, cin: int, cout: int, d_model: int, # model dimensio
models/ex_bi_mamba2.py:152
Method__init__
(self, cin, cout, d_model, **mamba2_args)
models/ex_bi_mamba2.py:176
Method__init__
(self, cin, cout, d_model, **mamba2_args)
models/ex_bi_mamba2.py:194
Method__init__
(self, cin, cout, d_model, **mamba2_args)
models/ex_bi_mamba2.py:217
Method__init__
(self, cin, cout, d_model, **mamba2_args)
models/ex_bi_mamba2.py:241
Method__init__
(self, config)
models/segm_models.py:191
Method__init__
( self, config: Dict, loss_adjustment: float = 1.0, attach_fad
models/bandit/core/__init__.py:171
Method__init__
( self, chunk_size_second: float, hop_size_second: float, fs:
models/bandit/core/utils/audio.py:368
Method__init__
( self, window_type: str, chunk_size_second: float, hop_size_s
models/bandit/core/utils/audio.py:413
Method__init__
( self, func: Callable, window_size: int, hop_size: int = None
models/bandit/core/metrics/snr.py:27
Method__init__
( self, window_size: int, hop_size: int = None, zero_mean: boo
models/bandit/core/metrics/snr.py:92
Method__init__
( self, window_size: int, hop_size: int = None, zero_mean: boo
models/bandit/core/metrics/snr.py:107
Method__init__
( self, window_size: int, hop_size: int = None, zero_mean: boo
models/bandit/core/metrics/snr.py:122
Method__init__
( self, window_size: int, hop_size: int = None, zero_mean: boo
models/bandit/core/metrics/snr.py:139
Method__init__
(self, val_range: Tuple[float, float] = (0.0, 1.0))
models/bandit/core/metrics/_squim.py:36
Method__init__
(self, feat_dim: int = 512, win_len: int = 32)
models/bandit/core/metrics/_squim.py:55
Method__init__
(self, rnn_type: str, input_size: int, hidden_size: int, dropout: float = 0.0)
models/bandit/core/metrics/_squim.py:75
Method__init__
(self, pool_dim: int = 1)
models/bandit/core/metrics/_squim.py:197
Method__init__
( self, encoder: nn.Module, dprnn: nn.Module, branches: nn.ModuleList, )
models/bandit/core/metrics/_squim.py:219
Method__init__
( self, n_fft: int = 2048, win_length: Optional[int] = 2048, h
models/bandit/core/model/_spectral.py:9
Method__init__
( self, emb_dim: int, mlp_dim: int, bandwidth: int,
models/bandit/core/model/bsrnn/maskestim.py:17
Method__init__
(self, emb_dim: int, mlp_dim: int, bandwidth: int, in_channel: "int | None", hidden_activation: str = "Tanh",
models/bandit/core/model/bsrnn/maskestim.py:127
Method__init__
( self, band_specs: List[Tuple[float, float]], emb_dim: int, m
models/bandit/core/model/bsrnn/maskestim.py:157
Method__init__
( self, in_channel: int, band_specs: List[Tuple[float, float]],
models/bandit/core/model/bsrnn/maskestim.py:214
Method__init__
( self, band_specs: List[Tuple[float, float]], emb_dim: int, m
models/bandit/core/model/bsrnn/maskestim.py:308
Method__init__
(self, **kwargs)
models/bandit/core/model/bsrnn/core.py:160
Method__init__
( self, in_channel: int, band_specs: List[Tuple[float, float]],
models/bandit/core/model/bsrnn/core.py:177
Method__init__
( self, in_channel: int, band_specs: List[Tuple[float, float]],
models/bandit/core/model/bsrnn/core.py:226
Method__init__
( self, in_channel: int, stems: List[str], band_specs: List[Tu
models/bandit/core/model/bsrnn/core.py:273
Method__init__
( self, in_channel: int, stems: List[str], band_specs: List[Tu
models/bandit/core/model/bsrnn/core.py:363
Method__init__
( self, in_channel: int, stems: List[str], band_specs: List[Tu
models/bandit/core/model/bsrnn/core.py:429
Method__init__
(self)
models/bandit/core/model/bsrnn/core.py:492
Method__init__
( self, in_channel: int, stems: List[str], band_specs: List[Tu
models/bandit/core/model/bsrnn/core.py:584
Method__init__
(self, nfft: int, fs: int, version: str = "7")
models/bandit/core/model/bsrnn/utils.py:97
Method__init__
(self, nfft: int, fs: int)
models/bandit/core/model/bsrnn/utils.py:217
Method__init__
(self, nfft: int, fs: int, version: str = "7")
models/bandit/core/model/bsrnn/utils.py:222
Method__init__
(self, nfft: int, fs: int)
models/bandit/core/model/bsrnn/utils.py:255
Method__init__
( self, nfft: int, fs: int, fbank_fn: Callable[[int, int, floa
models/bandit/core/model/bsrnn/utils.py:290
Method__init__
( self, nfft: int, fs: int, n_bands: int, f_min: f
models/bandit/core/model/bsrnn/utils.py:368
Method__init__
( self, nfft: int, fs: int, n_bands: int, f_min: f
models/bandit/core/model/bsrnn/utils.py:414
Method__init__
( self, nfft: int, fs: int, n_bands: int, f_min: f
models/bandit/core/model/bsrnn/utils.py:441
Method__init__
( self, nfft: int, fs: int, n_bands: int, f_min: f
models/bandit/core/model/bsrnn/utils.py:478
Method__init__
( self, nfft: int, fs: int, n_bands: int, f_min: f
models/bandit/core/model/bsrnn/utils.py:506
Method__init__
( self, nfft: int, fs: int, n_bands: int, f_min: f
models/bandit/core/model/bsrnn/utils.py:554
Method__init__
( self, band_specs: List[Tuple[float, float]], emb_dim: int, i
models/bandit/core/model/bsrnn/bandsplit.py:69
Method__init__
(self)
models/bandit/core/model/bsrnn/__init__.py:18
← previousnext →401–500 of 993, ranked by callers