thereadme/world-ecoregion
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  • b371500a3c fix(map_generator): fix new changes on web version master Mahdi Dibaiee 2019-05-29 17:46:37 +0430
  • 88ef4da496 fix(model): class_weight check using .any Mahdi Dibaiee 2019-05-25 12:09:34 +0430
  • 8ffeff179f fix(map_generator): distance_to_water distribution sync Mahdi Dibaiee 2019-05-22 11:28:16 +0430
  • c9c7f26910 feat(random_map_generator): generate maps randomly Mahdi Dibaiee 2019-05-22 08:29:42 +0430
  • d91c04e2f5 feaT(draw): alpha value for biomes Mahdi Dibaiee 2019-05-18 22:06:09 +0430
  • d965474974 feat(map-generator): use biome models for generating the biome layer Mahdi Dibaiee 2019-05-18 16:17:28 +0430
  • f79c63abf8 feat(generator/biomes): generate input for biome models Mahdi Dibaiee 2019-05-16 09:56:13 +0430
  • 0d348b6276 feat(end-to-end): end-to-end prediction Mahdi Dibaiee 2019-05-12 19:24:20 +0430
  • 2892129ee8 fix: split temps precips to different models Mahdi Dibaiee 2019-05-11 17:16:05 +0430
  • cbe8e7dd20 fix(regression): prediction for temps model Mahdi Dibaiee 2019-05-02 10:51:29 +0430
  • b192531a2a fix(model): checkpoints in h5 format Mahdi Dibaiee 2019-04-26 13:14:43 +0430
  • b377c6dd5f fix(map-generator): improve continent generation Mahdi Dibaiee 2019-04-24 15:00:45 +0430
  • 3bec4d7486 feat(web): auto-generated form Mahdi Dibaiee 2019-04-22 12:27:20 +0430
  • e18fc7692b feat(web): web server and basic dashboard Mahdi Dibaiee 2019-04-22 09:49:31 +0430
  • 8d4010b5dc feat(map-generator): mountain-agent for generating mountains Mahdi Dibaiee 2019-04-14 12:19:54 +0430
  • 3cd25bb458 feat(map-generator): base of map generator Mahdi Dibaiee 2019-04-09 12:12:30 +0430
  • e29d461319 chore(biomes): move biomes to /biomes Mahdi Dibaiee 2019-04-09 08:20:32 +0430
  • e977239027 fix(draw): use circle patches instead of scatter plot Mahdi Dibaiee 2019-03-31 11:59:06 +0430
  • e3e3fecf4d refactor: working version with command-line utilities Mahdi Dibaiee 2019-03-31 09:52:00 +0430
  • fe3f539d7d updates Mahdi Dibaiee 2019-03-07 06:55:23 +0330
  • 8477c02aae fix: use correct order for prediction Mahdi Dibaiee 2019-03-05 15:23:29 +0330
  • 3dcafddb8c refactor(data): include latitude longitude in columns, not indices Mahdi Dibaiee 2019-03-05 11:29:30 +0330
  • 865cc775ed fix(nn): better normalization, weight initialization and activation Mahdi Dibaiee 2019-02-28 17:22:50 +0330
  • c28fc0850f updates Mahdi Dibaiee 2019-02-28 13:34:47 +0330
  • f268e72244 feat(temps): various temperatures Mahdi Dibaiee 2019-02-27 15:06:20 +0330
  • d8365d6285 feat(models): train models and evaluate them Mahdi Dibaiee 2019-02-26 11:50:31 +0330
  • 0d9a0068b1 feat(nn): first model for predicting temp and precip Mahdi Dibaiee 2019-02-20 09:06:03 +0330
  • c490f2006b feat(draw): draw dataframe on map Mahdi Dibaiee 2019-02-17 09:50:20 +0330
  • a2ff08b195 fix(data.py): precipication value was same as temp Mahdi Dibaiee 2019-02-14 12:36:09 +0330
  • 4318cf71be feat(tf): transform dataframe to tensorflow dataset Mahdi Dibaiee 2019-02-12 08:41:33 +0330
  • ef604661ca feat(data): seasonal temp/precip data + distance to water Mahdi Dibaiee 2019-02-11 14:49:14 +0330
  • caa1b0443c fix(data.py): optimize for optimal performance and generate data Mahdi Dibaiee 2019-02-08 18:14:57 +0330
  • 902be97332 feat(data.py): data-reading file Mahdi Dibaiee 2019-02-03 09:04:28 +0330
  • 37d26dba75 initial version Mahdi Dibaiee 2019-02-02 16:16:38 +0330