Hugging Face's logo

AbstractPhil
/
geolip-hypersphere-experiments

TensorBoard
Model card Files
xet
 Metrics Community
1
AbstractPhil commited on
Commit
a413a8a
·
verified ·
1 Parent(s): 18a6ff7

Upload 7 files

Browse files
Files changed (7) hide show
  1. spectral/notebooks/experiment_1_signal_decomposition.ipynb +79 -1
  2. spectral/notebooks/experiment_2_manifold_structures.ipynb +79 -1
  3. spectral/notebooks/experiment_3_compact_representations.ipynb +79 -1
  4. spectral/notebooks/experiment_4_invertible_transforms.ipynb +79 -1
  5. spectral/notebooks/experiment_5_matrix_decompositions.ipynb +79 -1
  6. spectral/notebooks/experiment_6_losses_and_anchors.ipynb +79 -1
  7. spectral/notebooks/experiment_7_composite_pipelines.ipynb +79 -1
spectral/notebooks/experiment_1_signal_decomposition.ipynb CHANGED
@@ -47,7 +47,7 @@
47
  "metadata": {},
48
  "source": [
49
  "# @title Install Dependencies\n",
50
- "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn\n",
51
  "%load_ext tensorboard\n",
52
  "import torch\n",
53
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
@@ -1603,6 +1603,73 @@
1603
  " json.dump(self.results, f, indent=2)\n",
1604
  "\n",
1605
  "scoreboard = Scoreboard()\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1606
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1607
  ""
1608
  ],
@@ -2199,6 +2266,17 @@
2199
  ],
2200
  "execution_count": null,
2201
  "outputs": []
 
 
 
 
 
 
 
 
 
 
 
2202
  }
2203
  ]
2204
  }
 
47
  "metadata": {},
48
  "source": [
49
  "# @title Install Dependencies\n",
50
+ "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn huggingface_hub\n",
51
  "%load_ext tensorboard\n",
52
  "import torch\n",
53
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
 
1603
  " json.dump(self.results, f, indent=2)\n",
1604
  "\n",
1605
  "scoreboard = Scoreboard()\n",
1606
+ "\n",
1607
+ "\n",
1608
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1609
+ "# HUGGINGFACE UPLOAD \u2014 push TB runs + scoreboard after experiments\n",
1610
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1611
+ "\n",
1612
+ "HF_REPO = \"AbstractPhil/geolip-hypersphere-experiments\"\n",
1613
+ "HF_SUBDIR = \"spectral/notebooks\"\n",
1614
+ "\n",
1615
+ "def upload_runs_to_hf(notebook_name, scoreboard_path=None, runs_dir=\"runs\"):\n",
1616
+ " \"\"\"Upload TensorBoard runs and scoreboard to HuggingFace repo.\n",
1617
+ "\n",
1618
+ " Uploads to: {HF_REPO}/spectral/notebooks/{notebook_name}/\n",
1619
+ " Requires HF_TOKEN in Colab secrets or environment.\n",
1620
+ " \"\"\"\n",
1621
+ " try:\n",
1622
+ " from huggingface_hub import HfApi, login\n",
1623
+ " except ImportError:\n",
1624
+ " print(\"[HF] huggingface_hub not installed \u2014 skipping upload\")\n",
1625
+ " return None\n",
1626
+ "\n",
1627
+ " # Get token\n",
1628
+ " token = os.environ.get('HF_TOKEN') or os.environ.get('HUGGINGFACE_TOKEN')\n",
1629
+ " if token is None:\n",
1630
+ " try:\n",
1631
+ " from google.colab import userdata\n",
1632
+ " token = userdata.get('HF_TOKEN')\n",
1633
+ " except Exception:\n",
1634
+ " pass\n",
1635
+ " if token is None:\n",
1636
+ " print(\"[HF] No HF_TOKEN found. Set it in Colab secrets or environment.\")\n",
1637
+ " print(\" Colab: Settings \u2192 Secrets \u2192 Add HF_TOKEN\")\n",
1638
+ " return None\n",
1639
+ "\n",
1640
+ " api = HfApi(token=token)\n",
1641
+ " target = f\"{HF_SUBDIR}/{notebook_name}\"\n",
1642
+ " print(f\"[HF] Uploading to {HF_REPO}/{target} ...\")\n",
1643
+ "\n",
1644
+ " # Upload runs directory (TensorBoard logs)\n",
1645
+ " if os.path.exists(runs_dir) and os.listdir(runs_dir):\n",
1646
+ " api.upload_folder(\n",
1647
+ " folder_path=runs_dir,\n",
1648
+ " repo_id=HF_REPO,\n",
1649
+ " path_in_repo=f\"{target}/runs\",\n",
1650
+ " token=token,\n",
1651
+ " commit_message=f\"Upload TB runs: {notebook_name}\",\n",
1652
+ " )\n",
1653
+ " n_runs = len(os.listdir(runs_dir))\n",
1654
+ " print(f\"[HF] Uploaded {n_runs} TB run(s) to {target}/runs/\")\n",
1655
+ " else:\n",
1656
+ " print(f\"[HF] No runs directory found at {runs_dir}\")\n",
1657
+ "\n",
1658
+ " # Upload scoreboard JSON if provided\n",
1659
+ " if scoreboard_path and os.path.exists(scoreboard_path):\n",
1660
+ " api.upload_file(\n",
1661
+ " path_or_fileobj=scoreboard_path,\n",
1662
+ " repo_id=HF_REPO,\n",
1663
+ " path_in_repo=f\"{target}/scoreboard.json\",\n",
1664
+ " token=token,\n",
1665
+ " commit_message=f\"Upload scoreboard: {notebook_name}\",\n",
1666
+ " )\n",
1667
+ " print(f\"[HF] Uploaded scoreboard to {target}/scoreboard.json\")\n",
1668
+ "\n",
1669
+ " url = f\"https://huggingface.co/{HF_REPO}/tree/main/{target}\"\n",
1670
+ " print(f\"[HF] Done \u2192 {url}\")\n",
1671
+ " return url\n",
1672
+ "\n",
1673
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1674
  ""
1675
  ],
 
2266
  ],
2267
  "execution_count": null,
2268
  "outputs": []
2269
+ },
2270
+ {
2271
+ "cell_type": "code",
2272
+ "metadata": {},
2273
+ "source": [
2274
+ "# @title Upload Runs to HuggingFace\n",
2275
+ "upload_runs_to_hf(\"experiment_1_signal_decomposition\", \"scoreboard_exp1.json\")\n",
2276
+ ""
2277
+ ],
2278
+ "execution_count": null,
2279
+ "outputs": []
2280
  }
2281
  ]
2282
  }
spectral/notebooks/experiment_2_manifold_structures.ipynb CHANGED
@@ -39,7 +39,7 @@
39
  "metadata": {},
40
  "source": [
41
  "# @title Install Dependencies\n",
42
- "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn\n",
43
  "%load_ext tensorboard\n",
44
  "import torch\n",
45
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
@@ -1595,6 +1595,73 @@
1595
  " json.dump(self.results, f, indent=2)\n",
1596
  "\n",
1597
  "scoreboard = Scoreboard()\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1598
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1599
  ""
1600
  ],
@@ -1935,6 +2002,17 @@
1935
  ],
1936
  "execution_count": null,
1937
  "outputs": []
 
 
 
 
 
 
 
 
 
 
 
1938
  }
1939
  ]
1940
  }
 
39
  "metadata": {},
40
  "source": [
41
  "# @title Install Dependencies\n",
42
+ "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn huggingface_hub\n",
43
  "%load_ext tensorboard\n",
44
  "import torch\n",
45
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
 
1595
  " json.dump(self.results, f, indent=2)\n",
1596
  "\n",
1597
  "scoreboard = Scoreboard()\n",
1598
+ "\n",
1599
+ "\n",
1600
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1601
+ "# HUGGINGFACE UPLOAD \u2014 push TB runs + scoreboard after experiments\n",
1602
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1603
+ "\n",
1604
+ "HF_REPO = \"AbstractPhil/geolip-hypersphere-experiments\"\n",
1605
+ "HF_SUBDIR = \"spectral/notebooks\"\n",
1606
+ "\n",
1607
+ "def upload_runs_to_hf(notebook_name, scoreboard_path=None, runs_dir=\"runs\"):\n",
1608
+ " \"\"\"Upload TensorBoard runs and scoreboard to HuggingFace repo.\n",
1609
+ "\n",
1610
+ " Uploads to: {HF_REPO}/spectral/notebooks/{notebook_name}/\n",
1611
+ " Requires HF_TOKEN in Colab secrets or environment.\n",
1612
+ " \"\"\"\n",
1613
+ " try:\n",
1614
+ " from huggingface_hub import HfApi, login\n",
1615
+ " except ImportError:\n",
1616
+ " print(\"[HF] huggingface_hub not installed \u2014 skipping upload\")\n",
1617
+ " return None\n",
1618
+ "\n",
1619
+ " # Get token\n",
1620
+ " token = os.environ.get('HF_TOKEN') or os.environ.get('HUGGINGFACE_TOKEN')\n",
1621
+ " if token is None:\n",
1622
+ " try:\n",
1623
+ " from google.colab import userdata\n",
1624
+ " token = userdata.get('HF_TOKEN')\n",
1625
+ " except Exception:\n",
1626
+ " pass\n",
1627
+ " if token is None:\n",
1628
+ " print(\"[HF] No HF_TOKEN found. Set it in Colab secrets or environment.\")\n",
1629
+ " print(\" Colab: Settings \u2192 Secrets \u2192 Add HF_TOKEN\")\n",
1630
+ " return None\n",
1631
+ "\n",
1632
+ " api = HfApi(token=token)\n",
1633
+ " target = f\"{HF_SUBDIR}/{notebook_name}\"\n",
1634
+ " print(f\"[HF] Uploading to {HF_REPO}/{target} ...\")\n",
1635
+ "\n",
1636
+ " # Upload runs directory (TensorBoard logs)\n",
1637
+ " if os.path.exists(runs_dir) and os.listdir(runs_dir):\n",
1638
+ " api.upload_folder(\n",
1639
+ " folder_path=runs_dir,\n",
1640
+ " repo_id=HF_REPO,\n",
1641
+ " path_in_repo=f\"{target}/runs\",\n",
1642
+ " token=token,\n",
1643
+ " commit_message=f\"Upload TB runs: {notebook_name}\",\n",
1644
+ " )\n",
1645
+ " n_runs = len(os.listdir(runs_dir))\n",
1646
+ " print(f\"[HF] Uploaded {n_runs} TB run(s) to {target}/runs/\")\n",
1647
+ " else:\n",
1648
+ " print(f\"[HF] No runs directory found at {runs_dir}\")\n",
1649
+ "\n",
1650
+ " # Upload scoreboard JSON if provided\n",
1651
+ " if scoreboard_path and os.path.exists(scoreboard_path):\n",
1652
+ " api.upload_file(\n",
1653
+ " path_or_fileobj=scoreboard_path,\n",
1654
+ " repo_id=HF_REPO,\n",
1655
+ " path_in_repo=f\"{target}/scoreboard.json\",\n",
1656
+ " token=token,\n",
1657
+ " commit_message=f\"Upload scoreboard: {notebook_name}\",\n",
1658
+ " )\n",
1659
+ " print(f\"[HF] Uploaded scoreboard to {target}/scoreboard.json\")\n",
1660
+ "\n",
1661
+ " url = f\"https://huggingface.co/{HF_REPO}/tree/main/{target}\"\n",
1662
+ " print(f\"[HF] Done \u2192 {url}\")\n",
1663
+ " return url\n",
1664
+ "\n",
1665
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1666
  ""
1667
  ],
 
2002
  ],
2003
  "execution_count": null,
2004
  "outputs": []
2005
+ },
2006
+ {
2007
+ "cell_type": "code",
2008
+ "metadata": {},
2009
+ "source": [
2010
+ "# @title Upload Runs to HuggingFace\n",
2011
+ "upload_runs_to_hf(\"experiment_2_manifold_structures\", \"scoreboard_exp2.json\")\n",
2012
+ ""
2013
+ ],
2014
+ "execution_count": null,
2015
+ "outputs": []
2016
  }
2017
  ]
2018
  }
spectral/notebooks/experiment_3_compact_representations.ipynb CHANGED
@@ -38,7 +38,7 @@
38
  "metadata": {},
39
  "source": [
40
  "# @title Install Dependencies\n",
41
- "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn\n",
42
  "%load_ext tensorboard\n",
43
  "import torch\n",
44
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
@@ -1594,6 +1594,73 @@
1594
  " json.dump(self.results, f, indent=2)\n",
1595
  "\n",
1596
  "scoreboard = Scoreboard()\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1597
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1598
  ""
1599
  ],
@@ -1829,6 +1896,17 @@
1829
  ],
1830
  "execution_count": null,
1831
  "outputs": []
 
 
 
 
 
 
 
 
 
 
 
1832
  }
1833
  ]
1834
  }
 
38
  "metadata": {},
39
  "source": [
40
  "# @title Install Dependencies\n",
41
+ "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn huggingface_hub\n",
42
  "%load_ext tensorboard\n",
43
  "import torch\n",
44
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
 
1594
  " json.dump(self.results, f, indent=2)\n",
1595
  "\n",
1596
  "scoreboard = Scoreboard()\n",
1597
+ "\n",
1598
+ "\n",
1599
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1600
+ "# HUGGINGFACE UPLOAD \u2014 push TB runs + scoreboard after experiments\n",
1601
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1602
+ "\n",
1603
+ "HF_REPO = \"AbstractPhil/geolip-hypersphere-experiments\"\n",
1604
+ "HF_SUBDIR = \"spectral/notebooks\"\n",
1605
+ "\n",
1606
+ "def upload_runs_to_hf(notebook_name, scoreboard_path=None, runs_dir=\"runs\"):\n",
1607
+ " \"\"\"Upload TensorBoard runs and scoreboard to HuggingFace repo.\n",
1608
+ "\n",
1609
+ " Uploads to: {HF_REPO}/spectral/notebooks/{notebook_name}/\n",
1610
+ " Requires HF_TOKEN in Colab secrets or environment.\n",
1611
+ " \"\"\"\n",
1612
+ " try:\n",
1613
+ " from huggingface_hub import HfApi, login\n",
1614
+ " except ImportError:\n",
1615
+ " print(\"[HF] huggingface_hub not installed \u2014 skipping upload\")\n",
1616
+ " return None\n",
1617
+ "\n",
1618
+ " # Get token\n",
1619
+ " token = os.environ.get('HF_TOKEN') or os.environ.get('HUGGINGFACE_TOKEN')\n",
1620
+ " if token is None:\n",
1621
+ " try:\n",
1622
+ " from google.colab import userdata\n",
1623
+ " token = userdata.get('HF_TOKEN')\n",
1624
+ " except Exception:\n",
1625
+ " pass\n",
1626
+ " if token is None:\n",
1627
+ " print(\"[HF] No HF_TOKEN found. Set it in Colab secrets or environment.\")\n",
1628
+ " print(\" Colab: Settings \u2192 Secrets \u2192 Add HF_TOKEN\")\n",
1629
+ " return None\n",
1630
+ "\n",
1631
+ " api = HfApi(token=token)\n",
1632
+ " target = f\"{HF_SUBDIR}/{notebook_name}\"\n",
1633
+ " print(f\"[HF] Uploading to {HF_REPO}/{target} ...\")\n",
1634
+ "\n",
1635
+ " # Upload runs directory (TensorBoard logs)\n",
1636
+ " if os.path.exists(runs_dir) and os.listdir(runs_dir):\n",
1637
+ " api.upload_folder(\n",
1638
+ " folder_path=runs_dir,\n",
1639
+ " repo_id=HF_REPO,\n",
1640
+ " path_in_repo=f\"{target}/runs\",\n",
1641
+ " token=token,\n",
1642
+ " commit_message=f\"Upload TB runs: {notebook_name}\",\n",
1643
+ " )\n",
1644
+ " n_runs = len(os.listdir(runs_dir))\n",
1645
+ " print(f\"[HF] Uploaded {n_runs} TB run(s) to {target}/runs/\")\n",
1646
+ " else:\n",
1647
+ " print(f\"[HF] No runs directory found at {runs_dir}\")\n",
1648
+ "\n",
1649
+ " # Upload scoreboard JSON if provided\n",
1650
+ " if scoreboard_path and os.path.exists(scoreboard_path):\n",
1651
+ " api.upload_file(\n",
1652
+ " path_or_fileobj=scoreboard_path,\n",
1653
+ " repo_id=HF_REPO,\n",
1654
+ " path_in_repo=f\"{target}/scoreboard.json\",\n",
1655
+ " token=token,\n",
1656
+ " commit_message=f\"Upload scoreboard: {notebook_name}\",\n",
1657
+ " )\n",
1658
+ " print(f\"[HF] Uploaded scoreboard to {target}/scoreboard.json\")\n",
1659
+ "\n",
1660
+ " url = f\"https://huggingface.co/{HF_REPO}/tree/main/{target}\"\n",
1661
+ " print(f\"[HF] Done \u2192 {url}\")\n",
1662
+ " return url\n",
1663
+ "\n",
1664
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1665
  ""
1666
  ],
 
1896
  ],
1897
  "execution_count": null,
1898
  "outputs": []
1899
+ },
1900
+ {
1901
+ "cell_type": "code",
1902
+ "metadata": {},
1903
+ "source": [
1904
+ "# @title Upload Runs to HuggingFace\n",
1905
+ "upload_runs_to_hf(\"experiment_3_compact_representations\", \"scoreboard_exp3.json\")\n",
1906
+ ""
1907
+ ],
1908
+ "execution_count": null,
1909
+ "outputs": []
1910
  }
1911
  ]
1912
  }
spectral/notebooks/experiment_4_invertible_transforms.ipynb CHANGED
@@ -39,7 +39,7 @@
39
  "metadata": {},
40
  "source": [
41
  "# @title Install Dependencies\n",
42
- "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn\n",
43
  "%load_ext tensorboard\n",
44
  "import torch\n",
45
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
@@ -1595,6 +1595,73 @@
1595
  " json.dump(self.results, f, indent=2)\n",
1596
  "\n",
1597
  "scoreboard = Scoreboard()\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1598
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1599
  ""
1600
  ],
@@ -1951,6 +2018,17 @@
1951
  ],
1952
  "execution_count": null,
1953
  "outputs": []
 
 
 
 
 
 
 
 
 
 
 
1954
  }
1955
  ]
1956
  }
 
39
  "metadata": {},
40
  "source": [
41
  "# @title Install Dependencies\n",
42
+ "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn huggingface_hub\n",
43
  "%load_ext tensorboard\n",
44
  "import torch\n",
45
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
 
1595
  " json.dump(self.results, f, indent=2)\n",
1596
  "\n",
1597
  "scoreboard = Scoreboard()\n",
1598
+ "\n",
1599
+ "\n",
1600
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1601
+ "# HUGGINGFACE UPLOAD \u2014 push TB runs + scoreboard after experiments\n",
1602
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1603
+ "\n",
1604
+ "HF_REPO = \"AbstractPhil/geolip-hypersphere-experiments\"\n",
1605
+ "HF_SUBDIR = \"spectral/notebooks\"\n",
1606
+ "\n",
1607
+ "def upload_runs_to_hf(notebook_name, scoreboard_path=None, runs_dir=\"runs\"):\n",
1608
+ " \"\"\"Upload TensorBoard runs and scoreboard to HuggingFace repo.\n",
1609
+ "\n",
1610
+ " Uploads to: {HF_REPO}/spectral/notebooks/{notebook_name}/\n",
1611
+ " Requires HF_TOKEN in Colab secrets or environment.\n",
1612
+ " \"\"\"\n",
1613
+ " try:\n",
1614
+ " from huggingface_hub import HfApi, login\n",
1615
+ " except ImportError:\n",
1616
+ " print(\"[HF] huggingface_hub not installed \u2014 skipping upload\")\n",
1617
+ " return None\n",
1618
+ "\n",
1619
+ " # Get token\n",
1620
+ " token = os.environ.get('HF_TOKEN') or os.environ.get('HUGGINGFACE_TOKEN')\n",
1621
+ " if token is None:\n",
1622
+ " try:\n",
1623
+ " from google.colab import userdata\n",
1624
+ " token = userdata.get('HF_TOKEN')\n",
1625
+ " except Exception:\n",
1626
+ " pass\n",
1627
+ " if token is None:\n",
1628
+ " print(\"[HF] No HF_TOKEN found. Set it in Colab secrets or environment.\")\n",
1629
+ " print(\" Colab: Settings \u2192 Secrets \u2192 Add HF_TOKEN\")\n",
1630
+ " return None\n",
1631
+ "\n",
1632
+ " api = HfApi(token=token)\n",
1633
+ " target = f\"{HF_SUBDIR}/{notebook_name}\"\n",
1634
+ " print(f\"[HF] Uploading to {HF_REPO}/{target} ...\")\n",
1635
+ "\n",
1636
+ " # Upload runs directory (TensorBoard logs)\n",
1637
+ " if os.path.exists(runs_dir) and os.listdir(runs_dir):\n",
1638
+ " api.upload_folder(\n",
1639
+ " folder_path=runs_dir,\n",
1640
+ " repo_id=HF_REPO,\n",
1641
+ " path_in_repo=f\"{target}/runs\",\n",
1642
+ " token=token,\n",
1643
+ " commit_message=f\"Upload TB runs: {notebook_name}\",\n",
1644
+ " )\n",
1645
+ " n_runs = len(os.listdir(runs_dir))\n",
1646
+ " print(f\"[HF] Uploaded {n_runs} TB run(s) to {target}/runs/\")\n",
1647
+ " else:\n",
1648
+ " print(f\"[HF] No runs directory found at {runs_dir}\")\n",
1649
+ "\n",
1650
+ " # Upload scoreboard JSON if provided\n",
1651
+ " if scoreboard_path and os.path.exists(scoreboard_path):\n",
1652
+ " api.upload_file(\n",
1653
+ " path_or_fileobj=scoreboard_path,\n",
1654
+ " repo_id=HF_REPO,\n",
1655
+ " path_in_repo=f\"{target}/scoreboard.json\",\n",
1656
+ " token=token,\n",
1657
+ " commit_message=f\"Upload scoreboard: {notebook_name}\",\n",
1658
+ " )\n",
1659
+ " print(f\"[HF] Uploaded scoreboard to {target}/scoreboard.json\")\n",
1660
+ "\n",
1661
+ " url = f\"https://huggingface.co/{HF_REPO}/tree/main/{target}\"\n",
1662
+ " print(f\"[HF] Done \u2192 {url}\")\n",
1663
+ " return url\n",
1664
+ "\n",
1665
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1666
  ""
1667
  ],
 
2018
  ],
2019
  "execution_count": null,
2020
  "outputs": []
2021
+ },
2022
+ {
2023
+ "cell_type": "code",
2024
+ "metadata": {},
2025
+ "source": [
2026
+ "# @title Upload Runs to HuggingFace\n",
2027
+ "upload_runs_to_hf(\"experiment_4_invertible_transforms\", \"scoreboard_exp4.json\")\n",
2028
+ ""
2029
+ ],
2030
+ "execution_count": null,
2031
+ "outputs": []
2032
  }
2033
  ]
2034
  }
spectral/notebooks/experiment_5_matrix_decompositions.ipynb CHANGED
@@ -39,7 +39,7 @@
39
  "metadata": {},
40
  "source": [
41
  "# @title Install Dependencies\n",
42
- "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn\n",
43
  "%load_ext tensorboard\n",
44
  "import torch\n",
45
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
@@ -1595,6 +1595,73 @@
1595
  " json.dump(self.results, f, indent=2)\n",
1596
  "\n",
1597
  "scoreboard = Scoreboard()\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1598
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1599
  ""
1600
  ],
@@ -1900,6 +1967,17 @@
1900
  ],
1901
  "execution_count": null,
1902
  "outputs": []
 
 
 
 
 
 
 
 
 
 
 
1903
  }
1904
  ]
1905
  }
 
39
  "metadata": {},
40
  "source": [
41
  "# @title Install Dependencies\n",
42
+ "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn huggingface_hub\n",
43
  "%load_ext tensorboard\n",
44
  "import torch\n",
45
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
 
1595
  " json.dump(self.results, f, indent=2)\n",
1596
  "\n",
1597
  "scoreboard = Scoreboard()\n",
1598
+ "\n",
1599
+ "\n",
1600
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1601
+ "# HUGGINGFACE UPLOAD \u2014 push TB runs + scoreboard after experiments\n",
1602
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1603
+ "\n",
1604
+ "HF_REPO = \"AbstractPhil/geolip-hypersphere-experiments\"\n",
1605
+ "HF_SUBDIR = \"spectral/notebooks\"\n",
1606
+ "\n",
1607
+ "def upload_runs_to_hf(notebook_name, scoreboard_path=None, runs_dir=\"runs\"):\n",
1608
+ " \"\"\"Upload TensorBoard runs and scoreboard to HuggingFace repo.\n",
1609
+ "\n",
1610
+ " Uploads to: {HF_REPO}/spectral/notebooks/{notebook_name}/\n",
1611
+ " Requires HF_TOKEN in Colab secrets or environment.\n",
1612
+ " \"\"\"\n",
1613
+ " try:\n",
1614
+ " from huggingface_hub import HfApi, login\n",
1615
+ " except ImportError:\n",
1616
+ " print(\"[HF] huggingface_hub not installed \u2014 skipping upload\")\n",
1617
+ " return None\n",
1618
+ "\n",
1619
+ " # Get token\n",
1620
+ " token = os.environ.get('HF_TOKEN') or os.environ.get('HUGGINGFACE_TOKEN')\n",
1621
+ " if token is None:\n",
1622
+ " try:\n",
1623
+ " from google.colab import userdata\n",
1624
+ " token = userdata.get('HF_TOKEN')\n",
1625
+ " except Exception:\n",
1626
+ " pass\n",
1627
+ " if token is None:\n",
1628
+ " print(\"[HF] No HF_TOKEN found. Set it in Colab secrets or environment.\")\n",
1629
+ " print(\" Colab: Settings \u2192 Secrets \u2192 Add HF_TOKEN\")\n",
1630
+ " return None\n",
1631
+ "\n",
1632
+ " api = HfApi(token=token)\n",
1633
+ " target = f\"{HF_SUBDIR}/{notebook_name}\"\n",
1634
+ " print(f\"[HF] Uploading to {HF_REPO}/{target} ...\")\n",
1635
+ "\n",
1636
+ " # Upload runs directory (TensorBoard logs)\n",
1637
+ " if os.path.exists(runs_dir) and os.listdir(runs_dir):\n",
1638
+ " api.upload_folder(\n",
1639
+ " folder_path=runs_dir,\n",
1640
+ " repo_id=HF_REPO,\n",
1641
+ " path_in_repo=f\"{target}/runs\",\n",
1642
+ " token=token,\n",
1643
+ " commit_message=f\"Upload TB runs: {notebook_name}\",\n",
1644
+ " )\n",
1645
+ " n_runs = len(os.listdir(runs_dir))\n",
1646
+ " print(f\"[HF] Uploaded {n_runs} TB run(s) to {target}/runs/\")\n",
1647
+ " else:\n",
1648
+ " print(f\"[HF] No runs directory found at {runs_dir}\")\n",
1649
+ "\n",
1650
+ " # Upload scoreboard JSON if provided\n",
1651
+ " if scoreboard_path and os.path.exists(scoreboard_path):\n",
1652
+ " api.upload_file(\n",
1653
+ " path_or_fileobj=scoreboard_path,\n",
1654
+ " repo_id=HF_REPO,\n",
1655
+ " path_in_repo=f\"{target}/scoreboard.json\",\n",
1656
+ " token=token,\n",
1657
+ " commit_message=f\"Upload scoreboard: {notebook_name}\",\n",
1658
+ " )\n",
1659
+ " print(f\"[HF] Uploaded scoreboard to {target}/scoreboard.json\")\n",
1660
+ "\n",
1661
+ " url = f\"https://huggingface.co/{HF_REPO}/tree/main/{target}\"\n",
1662
+ " print(f\"[HF] Done \u2192 {url}\")\n",
1663
+ " return url\n",
1664
+ "\n",
1665
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1666
  ""
1667
  ],
 
1967
  ],
1968
  "execution_count": null,
1969
  "outputs": []
1970
+ },
1971
+ {
1972
+ "cell_type": "code",
1973
+ "metadata": {},
1974
+ "source": [
1975
+ "# @title Upload Runs to HuggingFace\n",
1976
+ "upload_runs_to_hf(\"experiment_5_matrix_decompositions\", \"scoreboard_exp5.json\")\n",
1977
+ ""
1978
+ ],
1979
+ "execution_count": null,
1980
+ "outputs": []
1981
  }
1982
  ]
1983
  }
spectral/notebooks/experiment_6_losses_and_anchors.ipynb CHANGED
@@ -41,7 +41,7 @@
41
  "metadata": {},
42
  "source": [
43
  "# @title Install Dependencies\n",
44
- "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn\n",
45
  "%load_ext tensorboard\n",
46
  "import torch\n",
47
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
@@ -1597,6 +1597,73 @@
1597
  " json.dump(self.results, f, indent=2)\n",
1598
  "\n",
1599
  "scoreboard = Scoreboard()\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1600
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1601
  ""
1602
  ],
@@ -1845,6 +1912,17 @@
1845
  ],
1846
  "execution_count": null,
1847
  "outputs": []
 
 
 
 
 
 
 
 
 
 
 
1848
  }
1849
  ]
1850
  }
 
41
  "metadata": {},
42
  "source": [
43
  "# @title Install Dependencies\n",
44
+ "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn huggingface_hub\n",
45
  "%load_ext tensorboard\n",
46
  "import torch\n",
47
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
 
1597
  " json.dump(self.results, f, indent=2)\n",
1598
  "\n",
1599
  "scoreboard = Scoreboard()\n",
1600
+ "\n",
1601
+ "\n",
1602
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1603
+ "# HUGGINGFACE UPLOAD \u2014 push TB runs + scoreboard after experiments\n",
1604
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1605
+ "\n",
1606
+ "HF_REPO = \"AbstractPhil/geolip-hypersphere-experiments\"\n",
1607
+ "HF_SUBDIR = \"spectral/notebooks\"\n",
1608
+ "\n",
1609
+ "def upload_runs_to_hf(notebook_name, scoreboard_path=None, runs_dir=\"runs\"):\n",
1610
+ " \"\"\"Upload TensorBoard runs and scoreboard to HuggingFace repo.\n",
1611
+ "\n",
1612
+ " Uploads to: {HF_REPO}/spectral/notebooks/{notebook_name}/\n",
1613
+ " Requires HF_TOKEN in Colab secrets or environment.\n",
1614
+ " \"\"\"\n",
1615
+ " try:\n",
1616
+ " from huggingface_hub import HfApi, login\n",
1617
+ " except ImportError:\n",
1618
+ " print(\"[HF] huggingface_hub not installed \u2014 skipping upload\")\n",
1619
+ " return None\n",
1620
+ "\n",
1621
+ " # Get token\n",
1622
+ " token = os.environ.get('HF_TOKEN') or os.environ.get('HUGGINGFACE_TOKEN')\n",
1623
+ " if token is None:\n",
1624
+ " try:\n",
1625
+ " from google.colab import userdata\n",
1626
+ " token = userdata.get('HF_TOKEN')\n",
1627
+ " except Exception:\n",
1628
+ " pass\n",
1629
+ " if token is None:\n",
1630
+ " print(\"[HF] No HF_TOKEN found. Set it in Colab secrets or environment.\")\n",
1631
+ " print(\" Colab: Settings \u2192 Secrets \u2192 Add HF_TOKEN\")\n",
1632
+ " return None\n",
1633
+ "\n",
1634
+ " api = HfApi(token=token)\n",
1635
+ " target = f\"{HF_SUBDIR}/{notebook_name}\"\n",
1636
+ " print(f\"[HF] Uploading to {HF_REPO}/{target} ...\")\n",
1637
+ "\n",
1638
+ " # Upload runs directory (TensorBoard logs)\n",
1639
+ " if os.path.exists(runs_dir) and os.listdir(runs_dir):\n",
1640
+ " api.upload_folder(\n",
1641
+ " folder_path=runs_dir,\n",
1642
+ " repo_id=HF_REPO,\n",
1643
+ " path_in_repo=f\"{target}/runs\",\n",
1644
+ " token=token,\n",
1645
+ " commit_message=f\"Upload TB runs: {notebook_name}\",\n",
1646
+ " )\n",
1647
+ " n_runs = len(os.listdir(runs_dir))\n",
1648
+ " print(f\"[HF] Uploaded {n_runs} TB run(s) to {target}/runs/\")\n",
1649
+ " else:\n",
1650
+ " print(f\"[HF] No runs directory found at {runs_dir}\")\n",
1651
+ "\n",
1652
+ " # Upload scoreboard JSON if provided\n",
1653
+ " if scoreboard_path and os.path.exists(scoreboard_path):\n",
1654
+ " api.upload_file(\n",
1655
+ " path_or_fileobj=scoreboard_path,\n",
1656
+ " repo_id=HF_REPO,\n",
1657
+ " path_in_repo=f\"{target}/scoreboard.json\",\n",
1658
+ " token=token,\n",
1659
+ " commit_message=f\"Upload scoreboard: {notebook_name}\",\n",
1660
+ " )\n",
1661
+ " print(f\"[HF] Uploaded scoreboard to {target}/scoreboard.json\")\n",
1662
+ "\n",
1663
+ " url = f\"https://huggingface.co/{HF_REPO}/tree/main/{target}\"\n",
1664
+ " print(f\"[HF] Done \u2192 {url}\")\n",
1665
+ " return url\n",
1666
+ "\n",
1667
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1668
  ""
1669
  ],
 
1912
  ],
1913
  "execution_count": null,
1914
  "outputs": []
1915
+ },
1916
+ {
1917
+ "cell_type": "code",
1918
+ "metadata": {},
1919
+ "source": [
1920
+ "# @title Upload Runs to HuggingFace\n",
1921
+ "upload_runs_to_hf(\"experiment_6_losses_and_anchors\", \"scoreboard_exp6.json\")\n",
1922
+ ""
1923
+ ],
1924
+ "execution_count": null,
1925
+ "outputs": []
1926
  }
1927
  ]
1928
  }
spectral/notebooks/experiment_7_composite_pipelines.ipynb CHANGED
@@ -39,7 +39,7 @@
39
  "metadata": {},
40
  "source": [
41
  "# @title Install Dependencies\n",
42
- "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn\n",
43
  "%load_ext tensorboard\n",
44
  "import torch\n",
45
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
@@ -1595,6 +1595,73 @@
1595
  " json.dump(self.results, f, indent=2)\n",
1596
  "\n",
1597
  "scoreboard = Scoreboard()\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1598
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1599
  ""
1600
  ],
@@ -1979,6 +2046,17 @@
1979
  ],
1980
  "execution_count": null,
1981
  "outputs": []
 
 
 
 
 
 
 
 
 
 
 
1982
  }
1983
  ]
1984
  }
 
39
  "metadata": {},
40
  "source": [
41
  "# @title Install Dependencies\n",
42
+ "!pip install -q kymatio torch torchvision tensorboard matplotlib scikit-learn huggingface_hub\n",
43
  "%load_ext tensorboard\n",
44
  "import torch\n",
45
  "print(f\"PyTorch {torch.__version__}, CUDA available: {torch.cuda.is_available()}\")\n",
 
1595
  " json.dump(self.results, f, indent=2)\n",
1596
  "\n",
1597
  "scoreboard = Scoreboard()\n",
1598
+ "\n",
1599
+ "\n",
1600
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1601
+ "# HUGGINGFACE UPLOAD \u2014 push TB runs + scoreboard after experiments\n",
1602
+ "# \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n",
1603
+ "\n",
1604
+ "HF_REPO = \"AbstractPhil/geolip-hypersphere-experiments\"\n",
1605
+ "HF_SUBDIR = \"spectral/notebooks\"\n",
1606
+ "\n",
1607
+ "def upload_runs_to_hf(notebook_name, scoreboard_path=None, runs_dir=\"runs\"):\n",
1608
+ " \"\"\"Upload TensorBoard runs and scoreboard to HuggingFace repo.\n",
1609
+ "\n",
1610
+ " Uploads to: {HF_REPO}/spectral/notebooks/{notebook_name}/\n",
1611
+ " Requires HF_TOKEN in Colab secrets or environment.\n",
1612
+ " \"\"\"\n",
1613
+ " try:\n",
1614
+ " from huggingface_hub import HfApi, login\n",
1615
+ " except ImportError:\n",
1616
+ " print(\"[HF] huggingface_hub not installed \u2014 skipping upload\")\n",
1617
+ " return None\n",
1618
+ "\n",
1619
+ " # Get token\n",
1620
+ " token = os.environ.get('HF_TOKEN') or os.environ.get('HUGGINGFACE_TOKEN')\n",
1621
+ " if token is None:\n",
1622
+ " try:\n",
1623
+ " from google.colab import userdata\n",
1624
+ " token = userdata.get('HF_TOKEN')\n",
1625
+ " except Exception:\n",
1626
+ " pass\n",
1627
+ " if token is None:\n",
1628
+ " print(\"[HF] No HF_TOKEN found. Set it in Colab secrets or environment.\")\n",
1629
+ " print(\" Colab: Settings \u2192 Secrets \u2192 Add HF_TOKEN\")\n",
1630
+ " return None\n",
1631
+ "\n",
1632
+ " api = HfApi(token=token)\n",
1633
+ " target = f\"{HF_SUBDIR}/{notebook_name}\"\n",
1634
+ " print(f\"[HF] Uploading to {HF_REPO}/{target} ...\")\n",
1635
+ "\n",
1636
+ " # Upload runs directory (TensorBoard logs)\n",
1637
+ " if os.path.exists(runs_dir) and os.listdir(runs_dir):\n",
1638
+ " api.upload_folder(\n",
1639
+ " folder_path=runs_dir,\n",
1640
+ " repo_id=HF_REPO,\n",
1641
+ " path_in_repo=f\"{target}/runs\",\n",
1642
+ " token=token,\n",
1643
+ " commit_message=f\"Upload TB runs: {notebook_name}\",\n",
1644
+ " )\n",
1645
+ " n_runs = len(os.listdir(runs_dir))\n",
1646
+ " print(f\"[HF] Uploaded {n_runs} TB run(s) to {target}/runs/\")\n",
1647
+ " else:\n",
1648
+ " print(f\"[HF] No runs directory found at {runs_dir}\")\n",
1649
+ "\n",
1650
+ " # Upload scoreboard JSON if provided\n",
1651
+ " if scoreboard_path and os.path.exists(scoreboard_path):\n",
1652
+ " api.upload_file(\n",
1653
+ " path_or_fileobj=scoreboard_path,\n",
1654
+ " repo_id=HF_REPO,\n",
1655
+ " path_in_repo=f\"{target}/scoreboard.json\",\n",
1656
+ " token=token,\n",
1657
+ " commit_message=f\"Upload scoreboard: {notebook_name}\",\n",
1658
+ " )\n",
1659
+ " print(f\"[HF] Uploaded scoreboard to {target}/scoreboard.json\")\n",
1660
+ "\n",
1661
+ " url = f\"https://huggingface.co/{HF_REPO}/tree/main/{target}\"\n",
1662
+ " print(f\"[HF] Done \u2192 {url}\")\n",
1663
+ " return url\n",
1664
+ "\n",
1665
  "print(\"[SHARED] GeoLIP architecture loaded \u2014 full three-domain pipeline ready.\")\n",
1666
  ""
1667
  ],
 
2046
  ],
2047
  "execution_count": null,
2048
  "outputs": []
2049
+ },
2050
+ {
2051
+ "cell_type": "code",
2052
+ "metadata": {},
2053
+ "source": [
2054
+ "# @title Upload Runs to HuggingFace\n",
2055
+ "upload_runs_to_hf(\"experiment_7_composite_pipelines\", \"scoreboard_exp7.json\")\n",
2056
+ ""
2057
+ ],
2058
+ "execution_count": null,
2059
+ "outputs": []
2060
  }
2061
  ]
2062
  }