Notebooks Classificador

This commit is contained in:
DiogoCosta18
2026-05-14 16:20:33 +01:00
parent 9ae334410d
commit 2062a91985
734 changed files with 75472 additions and 1730 deletions
@@ -0,0 +1,7 @@
{
"data_dir": "data",
"sources": ["wiki"],
"augment": false,
"image_size": 64,
"batch_size": 64
}
@@ -0,0 +1,15 @@
{
"extends": "_base_phase0.json",
"run_name": "p0_ddpm",
"model": "ddpm",
"base_ch": 128,
"T": 1000,
"beta_start": 0.0001,
"beta_end": 0.02,
"dropout": 0.1,
"epochs": 200,
"lr": 0.0001,
"subsample": 1.0,
"sample_interval": 10,
"sample_steps": 100
}
@@ -0,0 +1,15 @@
{
"extends": "_base_phase0.json",
"run_name": "p0_ddpm_small",
"model": "ddpm",
"base_ch": 64,
"T": 1000,
"beta_start": 0.0001,
"beta_end": 0.02,
"dropout": 0.1,
"epochs": 100,
"lr": 0.0002,
"subsample": 0.2,
"sample_interval": 10,
"sample_steps": 100
}
@@ -0,0 +1,12 @@
{
"extends": "_base_phase0.json",
"run_name": "p0_vae",
"model": "vae",
"latent_dim": 256,
"epochs": 100,
"lr": 0.0005,
"beta": 1.0,
"perceptual_weight": 0.1,
"subsample": 1.0,
"sample_interval": 5
}
@@ -0,0 +1,17 @@
{
"extends": "_base_phase0.json",
"run_name": "p0_wgan",
"model": "wgan",
"latent_dim": 128,
"ngf": 64,
"ndf": 64,
"epochs": 200,
"lr_g": 0.0001,
"lr_d": 0.0001,
"beta1": 0.0,
"beta2": 0.9,
"n_critic": 5,
"gp_lambda": 10,
"subsample": 1.0,
"sample_interval": 10
}
@@ -0,0 +1,13 @@
{
"model": "dcgan",
"image_size": 64,
"latent_dim": 100,
"ngf": 64,
"ndf": 64,
"epochs": 50,
"lr_g": 2e-4,
"lr_d": 2e-4,
"beta1": 0.5,
"beta2": 0.999,
"augment": false
}
@@ -0,0 +1,5 @@
{
"extends": "_base_dcgan.json",
"run_name": "p1a_dcgan_128",
"image_size": 128
}
@@ -0,0 +1,5 @@
{
"extends": "_base_dcgan.json",
"run_name": "p1a_dcgan_64",
"image_size": 64
}
@@ -0,0 +1,5 @@
{
"extends": "_base_dcgan.json",
"run_name": "p1b_dcgan_aligned",
"data_dir": "cropped/generator"
}
@@ -0,0 +1,5 @@
{
"extends": "_base_dcgan.json",
"run_name": "p1b_dcgan_full",
"data_dir": "data"
}
@@ -0,0 +1,6 @@
{
"extends": "_base_dcgan.json",
"run_name": "p1c_dcgan_full_aug",
"data_dir": "cropped/generator",
"augment": true
}
@@ -0,0 +1,6 @@
{
"extends": "_base_dcgan.json",
"run_name": "p1c_dcgan_hflip",
"data_dir": "cropped/generator",
"augment": false
}
@@ -0,0 +1,5 @@
{
"extends": "_base_dcgan.json",
"run_name": "p1d_dcgan_combined",
"data_dir": ["data", "cropped/generator"]
}
@@ -0,0 +1,10 @@
{
"epochs": 100,
"data_dir": "cropped/generator",
"sources": ["wiki"],
"augment": true,
"image_size": 64,
"sample_interval": 10,
"fid_interval": 25,
"fid_n_real": 5000
}
@@ -0,0 +1,12 @@
{
"extends": "_base_phase2.json",
"run_name": "p2_1_dcgan",
"model": "dcgan",
"latent_dim": 100,
"ngf": 64,
"ndf": 64,
"lr_g": 2e-4,
"lr_d": 2e-4,
"beta1": 0.5,
"beta2": 0.999
}
@@ -0,0 +1,14 @@
{
"extends": "_base_phase2.json",
"run_name": "p2_2_wgan",
"model": "wgan_basic",
"latent_dim": 128,
"ngf": 64,
"ndf": 64,
"lr_g": 1e-4,
"lr_d": 1e-4,
"beta1": 0.0,
"beta2": 0.9,
"n_critic": 2,
"gp_lambda": 10
}
@@ -0,0 +1,15 @@
{
"extends": "_base_phase2.json",
"run_name": "p2_3_wgan_sn_attn",
"model": "wgan",
"image_size": 64,
"latent_dim": 128,
"ngf": 128,
"ndf": 128,
"lr_g": 1e-4,
"lr_d": 1e-4,
"beta1": 0.0,
"beta2": 0.9,
"n_critic": 2,
"gp_lambda": 10
}
@@ -0,0 +1,15 @@
{
"extends": "_base_phase2.json",
"run_name": "p2_4_wgan_sn_attn_128",
"model": "wgan",
"image_size": 128,
"latent_dim": 128,
"ngf": 128,
"ndf": 128,
"lr_g": 1e-4,
"lr_d": 1e-4,
"beta1": 0.0,
"beta2": 0.9,
"n_critic": 2,
"gp_lambda": 10
}
@@ -0,0 +1,14 @@
{
"epochs": 100,
"data_dir": "cropped/generator",
"sources": ["wiki"],
"augment": "hflip",
"image_size": 64,
"model": "vae",
"latent_dim": 256,
"ngf": 64,
"grad_clip": 1.0,
"sample_interval": 10,
"fid_interval": 25,
"fid_n_real": 5000
}
@@ -0,0 +1,8 @@
{
"extends": "_base_phase3.json",
"run_name": "p3_1_vae",
"lr": 5e-4,
"beta_kl": 0.25,
"lambda_perceptual": 0.0,
"lambda_adversarial": 0.0
}
@@ -0,0 +1,8 @@
{
"extends": "_base_phase3.json",
"run_name": "p3_2_vae_perceptual",
"lr": 5e-4,
"beta_kl": 0.25,
"lambda_perceptual": 0.1,
"lambda_adversarial": 0.0
}
@@ -0,0 +1,10 @@
{
"extends": "_base_phase3.json",
"run_name": "p3_3_vae_patchgan",
"lr": 5e-4,
"lr_d": 1e-4,
"beta_kl": 0.25,
"lambda_perceptual": 0.1,
"lambda_adversarial": 0.01,
"ndf_patch": 64
}
@@ -0,0 +1,19 @@
{
"epochs": 100,
"data_dir": "cropped/generator",
"sources": ["wiki"],
"augment": "hflip",
"image_size": 64,
"model": "ddpm",
"T": 1000,
"ddim_steps": 100,
"lr": 2e-4,
"base_ch": 128,
"ch_mult": [1, 2, 2, 2],
"attn_resolutions": [16, 8],
"num_res_blocks": 2,
"dropout": 0.1,
"sample_interval": 10,
"fid_interval": 25,
"fid_n_real": 5000
}
@@ -0,0 +1,6 @@
{
"extends": "_base_phase4.json",
"run_name": "p4_1_ddpm_linear",
"noise_schedule": "linear",
"pred_type": "eps"
}
@@ -0,0 +1,6 @@
{
"extends": "_base_phase4.json",
"run_name": "p4_2_ddpm_cosine",
"noise_schedule": "cosine",
"pred_type": "eps"
}
@@ -0,0 +1,6 @@
{
"extends": "_base_phase4.json",
"run_name": "p4_3_ddpm_vpred",
"noise_schedule": "cosine",
"pred_type": "v"
}
@@ -0,0 +1,8 @@
{
"extends": "_base_phase4.json",
"run_name": "p4_4_ddpm_wider",
"noise_schedule": "cosine",
"pred_type": "v",
"base_ch": 192,
"attn_resolutions": [32, 16, 8]
}
@@ -0,0 +1,24 @@
{
"run_name": "p5_ddpm",
"model": "ddpm",
"epochs": 1000,
"data_dir": "cropped/generator",
"sources": ["wiki"],
"augment": "hflip",
"image_size": 64,
"T": 1000,
"noise_schedule": "cosine",
"pred_type": "v",
"base_ch": 192,
"ch_mult": [1, 2, 2, 2],
"attn_resolutions": [32, 16, 8],
"num_res_blocks": 2,
"dropout": 0.1,
"lr": 2e-4,
"ddim_steps": 100,
"sample_interval": 10,
"fid_interval": 25,
"fid_n_real": 5000,
"max_train_hours": 24,
"fid_patience": 2
}
@@ -0,0 +1,23 @@
{
"run_name": "p5_gan",
"model": "wgan",
"epochs": 1000,
"data_dir": "cropped/generator",
"sources": ["wiki"],
"augment": true,
"image_size": 64,
"latent_dim": 128,
"ngf": 128,
"ndf": 128,
"lr_g": 1e-4,
"lr_d": 1e-4,
"beta1": 0.0,
"beta2": 0.9,
"n_critic": 2,
"gp_lambda": 10,
"sample_interval": 10,
"fid_interval": 25,
"fid_n_real": 5000,
"max_train_hours": 24,
"fid_patience": 2
}
@@ -0,0 +1,22 @@
{
"run_name": "p5_vae",
"model": "vae",
"epochs": 1000,
"data_dir": "cropped/generator",
"sources": ["wiki"],
"augment": "hflip",
"image_size": 64,
"latent_dim": 256,
"ngf": 64,
"lr": 1e-3,
"lr_d": 1e-4,
"beta_kl": 0.25,
"lambda_perceptual": 0.1,
"lambda_adversarial": 0.01,
"ndf_patch": 64,
"sample_interval": 10,
"fid_interval": 25,
"fid_n_real": 5000,
"max_train_hours": 24,
"fid_patience": 2
}
@@ -0,0 +1,11 @@
{
"batch_size": 64,
"ema_decay": 0.9999,
"data_dir": "data",
"sources": ["wiki"],
"subsample": 1.0,
"sample_interval": 10,
"fid_interval": 25,
"fid_n_real": 5000,
"num_workers": 2
}