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  "query": "\"EEG deep learning\" in:description,readme stars:5000..9999"
1181
  },
1182
  "gap2026.neuroimaging-fmri": {
1183
- "complete": false,
1184
  "cursor": null,
1185
  "query": "\"fMRI machine learning\" in:description,readme stars:5000..9999"
1186
  },
1187
  "gap2026.neuroimaging-neural-decoding": {
1188
- "complete": false,
1189
  "cursor": null,
1190
  "query": "\"neural decoding\" machine learning in:description,readme stars:5000..9999"
1191
  },
1192
  "gap2026.physics-differentiable-simulation": {
1193
- "complete": false,
1194
  "cursor": null,
1195
  "query": "\"differentiable physics simulation\" in:description,readme stars:5000..9999"
1196
  },
1197
  "gap2026.physics-inverse-problem": {
1198
- "complete": false,
1199
  "cursor": null,
1200
  "query": "\"inverse problems\" neural network physics in:description,readme stars:5000..9999"
1201
  },
1202
  "gap2026.physics-neural-pde-solver": {
1203
- "complete": false,
1204
  "cursor": null,
1205
  "query": "\"neural PDE solver\" in:description,readme stars:5000..9999"
1206
  },
1207
  "gap2026.physics-quantum-ml": {
1208
- "complete": false,
1209
  "cursor": null,
1210
  "query": "\"quantum machine learning\" physics in:description,readme stars:5000..9999"
1211
  },
1212
  "general.active-learning": {
1213
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1214
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1215
  "query": "\"active learning\" in:description stars:5000..9999"
1216
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1217
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1218
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1219
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1220
  "query": "\"artificial intelligence\" in:description stars:5000..9999"
1221
  },
1222
  "general.arxiv": {
1223
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1224
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1225
  "query": "arxiv \"machine learning\" in:description,readme stars:5000..9999"
1226
  },
1227
  "general.automated-machine-learning": {
1228
- "complete": false,
1229
  "cursor": null,
1230
  "query": "\"automated machine learning\" in:readme stars:5000..9999"
1231
  },
1232
  "general.bayesian-deep-learning": {
1233
- "complete": false,
1234
  "cursor": null,
1235
  "query": "\"Bayesian deep learning\" in:description,readme stars:5000..9999"
1236
  },
1237
  "general.bayesian-optimization": {
1238
- "complete": false,
1239
  "cursor": null,
1240
  "query": "\"Bayesian optimization\" in:description stars:5000..9999"
1241
  },
1242
  "general.clustering": {
1243
- "complete": false,
1244
  "cursor": null,
1245
  "query": "\"clustering algorithm\" \"machine learning\" in:description,readme stars:5000..9999"
1246
  },
1247
  "general.continual-learning": {
1248
- "complete": false,
1249
  "cursor": null,
1250
  "query": "\"continual learning\" in:description,readme stars:5000..9999"
1251
  },
1252
  "general.contrastive-learning": {
1253
- "complete": false,
1254
  "cursor": null,
1255
  "query": "\"contrastive learning\" in:description,readme stars:5000..9999"
1256
  },
1257
  "general.decision-trees": {
1258
- "complete": false,
1259
  "cursor": null,
1260
  "query": "\"decision tree\" \"machine learning\" in:description,readme stars:5000..9999"
1261
  },
1262
  "general.deep-learning-description": {
1263
- "complete": false,
1264
  "cursor": null,
1265
  "query": "\"deep learning\" in:description stars:5000..9999"
1266
  },
1267
  "general.deep-learning-readme": {
1268
  "complete": false,
1269
- "cursor": null,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1270
  "query": "\"deep learning\" in:readme stars:5000..9999"
1271
  },
1272
  "general.dimensionality-reduction": {
1273
- "complete": false,
1274
  "cursor": null,
1275
  "query": "\"dimensionality reduction\" in:description,readme stars:5000..9999"
1276
  },
1277
  "general.domain-adaptation": {
1278
- "complete": false,
1279
  "cursor": null,
1280
  "query": "\"domain adaptation\" \"machine learning\" in:description,readme stars:5000..9999"
1281
  },
1282
  "general.gaussian-mixture-models": {
1283
- "complete": false,
1284
  "cursor": null,
1285
  "query": "\"Gaussian mixture model\" in:description,readme stars:5000..9999"
1286
  },
1287
  "general.gaussian-process": {
1288
- "complete": false,
1289
  "cursor": null,
1290
  "query": "\"Gaussian process\" in:description stars:5000..9999"
1291
  },
1292
  "general.gradient-boosting": {
1293
- "complete": false,
1294
  "cursor": null,
1295
  "query": "\"gradient boosting\" in:description stars:5000..9999"
1296
  },
1297
  "general.hidden-markov-models": {
1298
- "complete": false,
1299
  "cursor": null,
1300
  "query": "\"hidden Markov model\" \"machine learning\" in:description,readme stars:5000..9999"
1301
  },
1302
  "general.logistic-regression": {
1303
- "complete": false,
1304
  "cursor": null,
1305
  "query": "\"logistic regression\" in:description,readme stars:5000..9999"
1306
  },
1307
  "general.machine-learning-description": {
1308
- "complete": false,
1309
  "cursor": null,
1310
  "query": "\"machine learning\" in:description stars:5000..9999"
1311
  },
1312
  "general.machine-learning-readme": {
1313
  "complete": false,
1314
- "cursor": null,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1315
  "query": "\"machine learning\" in:readme stars:5000..9999"
1316
  },
1317
  "general.matrix-factorization": {
1318
- "complete": false,
1319
  "cursor": null,
1320
  "query": "\"matrix factorization\" \"machine learning\" in:description,readme stars:5000..9999"
1321
  },
1322
  "general.meta-learning": {
1323
- "complete": false,
1324
  "cursor": null,
1325
  "query": "\"meta-learning\" in:description,readme stars:5000..9999"
1326
  },
1327
  "general.metric-learning": {
1328
- "complete": false,
1329
  "cursor": null,
1330
  "query": "\"metric learning\" in:description,readme stars:5000..9999"
1331
  },
1332
  "general.model-architecture": {
1333
- "complete": false,
1334
  "cursor": null,
1335
  "query": "\"model architecture\" in:description stars:5000..9999"
1336
  },
1337
  "general.multi-task-learning": {
1338
- "complete": false,
1339
  "cursor": null,
1340
  "query": "\"multi-task learning\" in:description,readme stars:5000..9999"
1341
  },
1342
  "general.naive-bayes": {
1343
- "complete": false,
1344
  "cursor": null,
1345
  "query": "\"naive Bayes\" in:description,readme stars:5000..9999"
1346
  },
1347
  "general.nearest-neighbors": {
1348
- "complete": false,
1349
  "cursor": null,
1350
  "query": "\"nearest neighbors\" \"machine learning\" in:description,readme stars:5000..9999"
1351
  },
1352
  "general.neural-network": {
1353
- "complete": false,
1354
  "cursor": null,
1355
  "query": "\"neural network\" in:description stars:5000..9999"
1356
  },
1357
  "general.neural-processes": {
1358
- "complete": false,
1359
  "cursor": null,
1360
  "query": "\"neural processes\" in:description,readme stars:5000..9999"
1361
  },
1362
  "general.normalizing-flows": {
1363
- "complete": false,
1364
  "cursor": null,
1365
  "query": "\"normalizing flows\" \"machine learning\" in:description,readme stars:5000..9999"
1366
  },
1367
  "general.novel-method": {
1368
- "complete": false,
1369
  "cursor": null,
1370
  "query": "\"novel method\" in:description stars:5000..9999"
1371
  },
1372
  "general.paper-implementation": {
1373
- "complete": false,
1374
  "cursor": null,
1375
  "query": "\"paper implementation\" in:description stars:5000..9999"
1376
  },
1377
  "general.probabilistic-programming": {
1378
- "complete": false,
1379
  "cursor": null,
1380
  "query": "\"probabilistic programming\" in:description,readme stars:5000..9999"
1381
  },
1382
  "general.random-forest": {
1383
- "complete": false,
1384
  "cursor": null,
1385
  "query": "\"random forest\" in:description stars:5000..9999"
1386
  },
1387
  "general.research-code": {
1388
- "complete": false,
1389
  "cursor": null,
1390
  "query": "\"research code\" \"machine learning\" in:description,readme stars:5000..9999"
1391
  },
1392
  "general.self-supervised-learning": {
1393
- "complete": false,
1394
  "cursor": null,
1395
  "query": "\"self-supervised learning\" in:description stars:5000..9999"
1396
  },
1397
  "general.semi-supervised-learning": {
1398
- "complete": false,
1399
  "cursor": null,
1400
  "query": "\"semi-supervised learning\" in:description,readme stars:5000..9999"
1401
  },
1402
  "general.support-vector-machine": {
1403
- "complete": false,
1404
  "cursor": null,
1405
  "query": "\"support vector machine\" in:description stars:5000..9999"
1406
  },
1407
  "general.topic-artificial-intelligence": {
1408
- "complete": false,
1409
  "cursor": null,
1410
  "query": "topic:artificial-intelligence stars:5000..9999"
1411
  },
1412
  "general.topic-deep-learning": {
1413
  "complete": false,
1414
- "cursor": null,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1415
  "query": "topic:deep-learning stars:5000..9999"
1416
  },
1417
  "general.topic-machine-learning": {
1418
  "complete": false,
1419
- "cursor": null,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1420
  "query": "topic:machine-learning stars:5000..9999"
1421
  },
1422
  "general.transfer-learning": {
1423
- "complete": false,
1424
  "cursor": null,
1425
  "query": "\"transfer learning\" in:description,readme stars:5000..9999"
1426
  },
1427
  "general.weak-supervision": {
1428
- "complete": false,
1429
  "cursor": null,
1430
  "query": "\"weak supervision\" \"machine learning\" in:description,readme stars:5000..9999"
1431
  },
1432
  "geo.building-footprints": {
1433
- "complete": false,
1434
  "cursor": null,
1435
  "query": "\"building footprint extraction\" in:description,readme stars:5000..9999"
1436
  },
1437
  "geo.change-detection": {
1438
- "complete": false,
1439
  "cursor": null,
1440
  "query": "\"remote sensing change detection\" in:description,readme stars:5000..9999"
1441
  },
1442
  "geo.climate-mapping": {
1443
- "complete": false,
1444
  "cursor": null,
1445
  "query": "\"climate downscaling\" in:readme stars:5000..9999"
1446
  },
1447
  "geo.crop-monitoring": {
1448
- "complete": false,
1449
  "cursor": null,
1450
  "query": "\"crop yield prediction\" in:description,readme stars:5000..9999"
1451
  },
1452
  "geo.earth-observation-models": {
1453
- "complete": false,
1454
  "cursor": null,
1455
  "query": "\"Earth observation model\" in:description stars:5000..9999"
1456
  },
1457
  "geo.environmental-monitoring": {
1458
- "complete": false,
1459
  "cursor": null,
1460
  "query": "\"environmental monitoring\" in:readme stars:5000..9999"
1461
  },
1462
  "geo.flood-mapping": {
1463
- "complete": false,
1464
  "cursor": null,
1465
  "query": "\"flood mapping\" in:readme stars:5000..9999"
1466
  },
1467
  "geo.foundation-models-earth": {
1468
- "complete": false,
1469
  "cursor": null,
1470
  "query": "\"Earth observation foundation model\" in:description,readme stars:5000..9999"
1471
  },
1472
  "geo.geospatial-foundation-models": {
1473
- "complete": false,
1474
  "cursor": null,
1475
  "query": "\"geospatial foundation model\" in:readme stars:5000..9999"
1476
  },
1477
  "geo.geospatial-knowledge-graph": {
1478
- "complete": false,
1479
  "cursor": null,
1480
  "query": "\"geospatial knowledge graph\" in:description,readme stars:5000..9999"
1481
  },
1482
  "geo.hydrology": {
1483
- "complete": false,
1484
  "cursor": null,
1485
  "query": "\"hydrology machine learning\" in:readme stars:5000..9999"
1486
  },
1487
  "geo.land-cover": {
1488
- "complete": false,
1489
  "cursor": null,
1490
  "query": "\"land cover\" in:readme stars:5000..9999"
1491
  },
1492
  "geo.land-use": {
1493
- "complete": false,
1494
  "cursor": null,
1495
  "query": "\"land use\" in:readme stars:5000..9999"
1496
  },
1497
  "geo.lidar": {
1498
- "complete": false,
1499
  "cursor": null,
1500
  "query": "LiDAR in:description \"deep learning\" stars:5000..9999"
1501
  },
1502
  "geo.mobility-modeling": {
1503
- "complete": false,
1504
  "cursor": null,
1505
  "query": "\"human mobility\" \"machine learning\" in:description,readme stars:5000..9999"
1506
  },
1507
  "geo.object-detection": {
1508
- "complete": false,
1509
  "cursor": null,
1510
  "query": "\"object detection\" \"remote sensing\" in:description,readme stars:5000..9999"
1511
  },
1512
  "geo.ocean-remote-sensing": {
1513
- "complete": false,
1514
  "cursor": null,
1515
  "query": "\"ocean remote sensing\" in:description,readme stars:5000..9999"
1516
  },
1517
  "geo.precipitation-forecasting": {
1518
- "complete": false,
1519
  "cursor": null,
1520
  "query": "\"precipitation forecasting\" in:description,readme stars:5000..9999"
1521
  },
1522
  "geo.sar-imagery": {
1523
- "complete": false,
1524
  "cursor": null,
1525
  "query": "\"synthetic aperture radar\" in:readme stars:5000..9999"
1526
  },
1527
  "geo.satellite-imagery": {
1528
- "complete": false,
1529
  "cursor": null,
1530
  "query": "\"satellite imagery\" in:readme stars:5000..9999"
1531
  },
1532
  "geo.topic-earth-observation": {
1533
- "complete": false,
1534
  "cursor": null,
1535
  "query": "topic:earth-observation stars:5000..9999"
1536
  },
1537
  "geo.topic-geospatial": {
1538
- "complete": false,
1539
  "cursor": null,
1540
  "query": "topic:geospatial stars:5000..9999"
1541
  },
1542
  "geo.topic-gis": {
1543
- "complete": false,
1544
  "cursor": null,
1545
  "query": "topic:gis stars:5000..9999"
1546
  },
@@ -4105,7 +4193,7 @@
4105
  "query": "\"visual localization\" in:readme stars:5000..9999"
4106
  }
4107
  },
4108
- "next_index": 200,
4109
  "per_page": 100,
4110
  "start": "2008-01-01",
4111
  "version": 1
 
1045
  "query": "pruning in:description stars:5000..9999"
1046
  },
1047
  "efficiency.quantization": {
1048
+ "complete": true,
1049
  "cursor": null,
1050
  "query": "quantization in:description stars:5000..9999"
1051
  },
1052
  "efficiency.quantization-aware-training": {
1053
+ "complete": true,
1054
  "cursor": null,
1055
  "query": "\"quantization-aware training\" in:description stars:5000..9999"
1056
  },
1057
  "efficiency.sparse-neural-networks": {
1058
+ "complete": true,
1059
  "cursor": null,
1060
  "query": "\"sparse neural network\" in:description stars:5000..9999"
1061
  },
1062
  "efficiency.speculative-decoding": {
1063
+ "complete": true,
1064
  "cursor": null,
1065
  "query": "\"speculative decoding\" in:description stars:5000..9999"
1066
  },
1067
  "gap2026.archaeology-ml": {
1068
+ "complete": true,
1069
  "cursor": null,
1070
  "query": "\"machine learning archaeology\" in:description,readme stars:5000..9999"
1071
  },
1072
  "gap2026.climate-downscaling": {
1073
+ "complete": true,
1074
  "cursor": null,
1075
  "query": "\"machine learning climate downscaling\" in:description,readme stars:5000..9999"
1076
  },
1077
  "gap2026.clinical-ehr-representation": {
1078
+ "complete": true,
1079
  "cursor": null,
1080
  "query": "\"electronic health record\" representation learning in:description,readme stars:5000..9999"
1081
  },
1082
  "gap2026.clinical-risk-prediction": {
1083
+ "complete": true,
1084
  "cursor": null,
1085
  "query": "\"clinical risk prediction\" machine learning in:description,readme stars:5000..9999"
1086
  },
1087
  "gap2026.clinical-survival-ml": {
1088
+ "complete": true,
1089
  "cursor": null,
1090
  "query": "\"survival analysis\" deep learning clinical in:description,readme stars:5000..9999"
1091
  },
1092
  "gap2026.clinical-treatment-effect": {
1093
+ "complete": true,
1094
  "cursor": null,
1095
  "query": "\"treatment effect estimation\" clinical in:description,readme stars:5000..9999"
1096
  },
1097
  "gap2026.clinical-trial-matching": {
1098
+ "complete": true,
1099
  "cursor": null,
1100
  "query": "\"clinical trial matching\" machine learning in:description,readme stars:5000..9999"
1101
  },
1102
  "gap2026.econometrics-causal-forest": {
1103
+ "complete": true,
1104
  "cursor": null,
1105
  "query": "\"causal forest\" econometrics in:description,readme stars:5000..9999"
1106
  },
1107
  "gap2026.econometrics-double-ml": {
1108
+ "complete": true,
1109
  "cursor": null,
1110
  "query": "\"double machine learning\" econometrics in:description,readme stars:5000..9999"
1111
  },
1112
  "gap2026.econometrics-heterogeneous-effects": {
1113
+ "complete": true,
1114
  "cursor": null,
1115
  "query": "\"heterogeneous treatment effects\" machine learning economics in:description,readme stars:5000..9999"
1116
  },
1117
  "gap2026.econometrics-policy-learning": {
1118
+ "complete": true,
1119
  "cursor": null,
1120
  "query": "\"policy learning\" causal machine learning economics in:description,readme stars:5000..9999"
1121
  },
1122
  "gap2026.forecasting-count-data": {
1123
+ "complete": true,
1124
  "cursor": null,
1125
  "query": "\"count time series forecasting\" neural in:description,readme stars:5000..9999"
1126
  },
1127
  "gap2026.forecasting-hierarchical": {
1128
+ "complete": true,
1129
  "cursor": null,
1130
  "query": "\"hierarchical time series forecasting\" machine learning in:description,readme stars:5000..9999"
1131
  },
1132
  "gap2026.forecasting-intermittent-demand": {
1133
+ "complete": true,
1134
  "cursor": null,
1135
  "query": "\"intermittent demand forecasting\" machine learning in:description,readme stars:5000..9999"
1136
  },
1137
  "gap2026.forecasting-quantile": {
1138
+ "complete": true,
1139
  "cursor": null,
1140
  "query": "\"neural quantile forecasting\" in:description,readme stars:5000..9999"
1141
  },
1142
  "gap2026.green-ai-carbon": {
1143
+ "complete": true,
1144
  "cursor": null,
1145
  "query": "\"carbon emissions\" machine learning training in:description,readme stars:5000..9999"
1146
  },
1147
  "gap2026.green-ai-carbon-aware-scheduling": {
1148
+ "complete": true,
1149
  "cursor": null,
1150
  "query": "\"carbon-aware\" machine learning scheduling in:description,readme stars:5000..9999"
1151
  },
1152
  "gap2026.green-ai-efficient-inference": {
1153
+ "complete": true,
1154
  "cursor": null,
1155
  "query": "\"energy efficient inference\" neural network in:description,readme stars:5000..9999"
1156
  },
1157
  "gap2026.green-ai-energy": {
1158
+ "complete": true,
1159
  "cursor": null,
1160
  "query": "\"energy efficient machine learning\" in:description,readme stars:5000..9999"
1161
  },
1162
  "gap2026.math-learned-optimization": {
1163
+ "complete": true,
1164
  "cursor": null,
1165
  "query": "\"learned optimizer\" optimization algorithm in:description,readme stars:5000..9999"
1166
  },
1167
  "gap2026.math-neural-combinatorial-optimization": {
1168
+ "complete": true,
1169
  "cursor": null,
1170
  "query": "\"neural combinatorial optimization\" in:description,readme stars:5000..9999"
1171
  },
1172
  "gap2026.neuroimaging-connectome": {
1173
+ "complete": true,
1174
  "cursor": null,
1175
  "query": "\"connectome prediction\" machine learning in:description,readme stars:5000..9999"
1176
  },
1177
  "gap2026.neuroimaging-eeg": {
1178
+ "complete": true,
1179
  "cursor": null,
1180
  "query": "\"EEG deep learning\" in:description,readme stars:5000..9999"
1181
  },
1182
  "gap2026.neuroimaging-fmri": {
1183
+ "complete": true,
1184
  "cursor": null,
1185
  "query": "\"fMRI machine learning\" in:description,readme stars:5000..9999"
1186
  },
1187
  "gap2026.neuroimaging-neural-decoding": {
1188
+ "complete": true,
1189
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