Release v0.1.0

MANIFEST.md

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+# snowGAN release v0.1.0
+
+Snapshot of a snowGAN training run, packaged for downstream consumers
+(AvAI etc.). Consume with `snowgan.weights.fetch("RMDig/snowGAN-core", "v0.1.0")`.
+
+## Provenance
+- snowGAN package version: `unknown`
+- snowGAN git SHA at release: `9d5b8e8d9b3996e417e70df6f024795529f000b8`
+- Training dataset: `rmdig/rocky_mountain_snowpack`
+- Source save_dir: `/mnt/d/GitSpot/snowGAN/keras/snowgan/core`
+
+## Model architecture
+- depth: 1
+- resolution: [1024, 1024]
+- modality: core
+- channels: 3
+- latent_dim: 100
+- filter_counts (gen): [1024, 512, 256, 128, 64]
+- filter_counts (disc): [64, 128, 256, 512, 1024]
+- kernel_size / kernel_stride: [3, 3] / [2, 2]
+
+## Training state at release
+- fade_step: 130000 (gen) / 130000 (disc)
+- fade_steps target: 50000
+- current_epoch: 0
+- training_steps: gen=3, disc=2
+- lambda_gp: 10.0
+
+## Advanced training options
+- spectral_norm: False
+- augment: True
+- multiscale_disc: True
+- ema_decay: 0.999
+- lr_decay: cosine (lr_min=1e-07)
+- ada_target: 0.6
+- adaptive_steps: False
+- grad_clip_norm: 1.0
+- fid_interval: 5000
+
+## Persisted dataset splits
+- trained_pool: 10 groups
+- validation_pool: 1 groups
+- test_pool: 2 groups
+
+## Artifacts
+- `discriminator.weights.h5`
+- `discriminator_config.json`
+- `discriminator_lowres.weights.h5`
+- `generator.weights.h5`
+- `generator_config.json`
+- `generator_ema.weights.h5`
+- `generator_fade_endpoints.weights.h5`
+
+## Notes
+First core release. Trained ~127k steps without spectral_norm; disc loss diverged post-step-80k due to small dataset (~13 cores) + no Lipschitz constraint + unconstrained multiscale_disc lowres critic. Generator produces structured outputs (vertical snow-like patterns, blue/white palette). Backbone Conv3D features usable for transfer; full retrain with --spectral_norm planned for v0.2.0.

discriminator.weights.h5

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discriminator_config.json

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+{
+    "save_dir": "keras/snowgan/core/",
+    "checkpoint": "keras/snowgan/core/discriminator.weights.h5",
+    "dataset": "rmdig/rocky_mountain_snowpack",
+    "datatype": "magnified_profile",
+    "architecture": "discriminator",
+    "resolution": [
+        1024,
+        1024
+    ],
+    "channels": 3,
+    "depth": 1,
+    "images": null,
+    "trained_pool": [
+        [
+            2,
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+        [
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+        [
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+        [
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+    ],
+    "validation_pool": [
+        [
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+    "test_pool": [
+        [
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+    "model_history": null,
+    "n_samples": 10,
+    "epochs": 1000,
+    "current_epoch": 0,
+    "batch_size": 4,
+    "training_steps": 2,
+    "learning_rate": 1e-05,
+    "beta_1": 0.5,
+    "beta_2": 0.9,
+    "negative_slope": 0.25,
+    "lambda_gp": 10.0,
+    "latent_dim": 100,
+    "convolution_depth": 5,
+    "filter_counts": [
+        64,
+        128,
+        256,
+        512,
+        1024
+    ],
+    "kernel_size": [
+        3,
+        3
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+    "kernel_stride": [
+        2,
+        2
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+    "batch_norm": false,
+    "final_activation": "tanh",
+    "zero_padding": null,
+    "padding": "same",
+    "optimizer": "adam",
+    "loss": null,
+    "train_ind": 0,
+    "trained_data": [],
+    "seen_profiles": [],
+    "rebuild": false,
+    "fade": false,
+    "fade_steps": 50000,
+    "fade_step": 130000,
+    "cleanup_milestone": 1000,
+    "spectral_norm": false,
+    "augment": true,
+    "lr_decay": "cosine",
+    "lr_min": 1e-07,
+    "ema_decay": 0.999,
+    "fid_interval": 5000,
+    "multiscale_disc": true,
+    "grad_clip_norm": 1.0,
+    "ada_target": 0.6,
+    "adaptive_steps": false,
+    "seed": 42,
+    "modality": "core",
+    "sample_epoch_interval": 1,
+    "sample_batch_interval": 10
+}

discriminator_lowres.weights.h5

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generator.weights.h5

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generator_config.json

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+{
+    "save_dir": "keras/snowgan/core/",
+    "checkpoint": "keras/snowgan/core/generator.weights.h5",
+    "dataset": "rmdig/rocky_mountain_snowpack",
+    "datatype": "magnified_profile",
+    "architecture": "generator",
+    "resolution": [
+        1024,
+        1024
+    ],
+    "channels": 3,
+    "depth": 1,
+    "images": null,
+    "trained_pool": [
+        [
+            2,
+            1,
+            3
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+        [
+            2,
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+    "validation_pool": [
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+    "test_pool": [
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+    "n_samples": 10,
+    "epochs": 1000,
+    "current_epoch": 0,
+    "batch_size": 4,
+    "training_steps": 3,
+    "learning_rate": 0.0001,
+    "beta_1": 0.5,
+    "beta_2": 0.9,
+    "negative_slope": 0.25,
+    "lambda_gp": 10.0,
+    "latent_dim": 100,
+    "convolution_depth": 5,
+    "filter_counts": [
+        1024,
+        512,
+        256,
+        128,
+        64
+    ],
+    "kernel_size": [
+        3,
+        3
+    ],
+    "kernel_stride": [
+        2,
+        2
+    ],
+    "batch_norm": false,
+    "final_activation": "tanh",
+    "zero_padding": null,
+    "padding": "same",
+    "optimizer": "adam",
+    "loss": null,
+    "train_ind": 212,
+    "trained_data": [],
+    "seen_profiles": [],
+    "rebuild": false,
+    "fade": false,
+    "fade_steps": 50000,
+    "fade_step": 130000,
+    "cleanup_milestone": 1000,
+    "spectral_norm": false,
+    "augment": true,
+    "lr_decay": "cosine",
+    "lr_min": 1e-07,
+    "ema_decay": 0.999,
+    "fid_interval": 5000,
+    "multiscale_disc": true,
+    "grad_clip_norm": 1.0,
+    "ada_target": 0.6,
+    "adaptive_steps": false,
+    "seed": 42,
+    "modality": "core",
+    "sample_epoch_interval": 1,
+    "sample_batch_interval": 10
+}

generator_ema.weights.h5

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