hub/nilearn

District: requests · urllib3nilearn/nilearn

All repositories Show on map

[REL] 0.14.25
#71opened 09-29 18:44 by nilearn-bot· merged 09-29 18:46session 09-29 18:43
0
[PERF] Vectorize sphere voxel coordinate setup
#70opened 09-29 18:38 by nilearn-bot· merged 09-29 18:41session 09-29 18:31
0
[REL] 0.14.24
#68opened 09-29 18:15 by nilearn-bot· merged 09-29 18:17session 09-29 18:13
0
[PERF] Avoid BLAS overhead in wide detrending
#67opened 09-29 18:11 by nilearn-bot· merged 09-29 18:14session 09-29 18:05
0
[REL] 0.14.23
#65opened 09-29 17:52 by nilearn-bot· merged 09-29 17:54session 09-29 17:50
0
[PERF] Batch geometric mean eigendecompositions
#64opened 09-29 17:46 by nilearn-bot· merged 09-29 17:51session 09-29 17:32
0
[REL] 0.14.22
#62opened 09-29 16:57 by nilearn-bot· merged 09-29 16:59session 09-29 16:56
0
[PERF] Batch surface label mean extraction
#61opened 09-29 16:54 by nilearn-bot· merged 09-29 16:57session 09-29 16:47
0
[REL] 0.14.21
#60opened 09-29 16:35 by nilearn-bot· merged 09-29 16:36session 09-29 16:33
0
[PERF] Reuse OLS residuals for AR estimation
#59opened 09-29 16:30 by nilearn-bot· merged 09-29 16:35session 09-29 16:25
0
[REL] 0.14.20
#57opened 09-29 15:26 by nilearn-bot· merged 09-29 15:28session 09-29 15:24
0
[PERF] Avoid sorting cluster threshold labels
#56opened 09-29 15:14 by nilearn-bot· merged 09-29 15:22session 09-29 15:08
1
[REL] 0.14.19
#54opened 09-29 14:44 by nilearn-bot· merged 09-29 14:46session 09-29 14:42
0
[PERF] Vectorize nearest-most-frequent sampling
#53opened 09-29 14:40 by nilearn-bot· merged 09-29 14:43session 09-29 14:35
0
[REL] 0.14.18
#51opened 09-29 14:00 by nilearn-bot· merged 09-29 14:01session 09-29 13:58
0
[PERF] Vectorize label signal reconstruction
#50opened 09-29 13:56 by nilearn-bot· merged 09-29 13:59session 09-29 13:52
0
[REL] 0.14.17
#48opened 09-29 13:41 by nilearn-bot· merged 09-29 13:43session 09-29 13:40
0
[PERF] Vectorize subpeak distance evaluation
#47opened 09-29 13:36 by nilearn-bot· merged 09-29 13:38session 09-29 13:30
0
[REL] 0.14.16
#46opened 09-29 13:17 by nilearn-bot· merged 09-29 13:18session 09-29 13:15
0
[PERF] Vectorize cluster-size filtering
#45opened 09-29 13:13 by nilearn-bot· merged 09-29 13:16session 09-29 13:01
0
[REL] 0.14.15
#44opened 09-29 12:56 by nilearn-bot· merged 09-29 12:58session 09-29 12:55
1
[PERF] Vectorize HTML sprite assembly
#43opened 09-29 12:50 by nilearn-bot· merged 09-29 12:53session 09-29 12:45
0
[REL] 0.14.14
#42opened 09-29 12:40 by nilearn-bot· merged 09-29 12:42session 09-29 12:39
0
[PERF] Group cluster labels before inference
#41opened 09-29 12:35 by nilearn-bot· merged 09-29 12:37session 09-29 12:30
0
[REL] 0.14.13
#40opened 09-29 12:21 by nilearn-bot· merged 09-29 12:23session 09-29 12:20
0
[PERF] Avoid batched solves for AR(1) estimation
#39opened 09-29 12:17 by nilearn-bot· merged 09-29 12:18session 09-29 12:11
0
[REL] 0.14.12
#38opened 09-29 12:04 by nilearn-bot· merged 09-29 12:05session 09-29 12:02
0
[PERF] Batch covariance correlation normalization
#37opened 09-29 11:59 by nilearn-bot· merged 09-29 12:03session 09-29 11:55
0
[REL] 0.14.11
#35opened 09-29 11:52 by nilearn-bot· merged 09-29 11:53session 09-29 11:50
0
ENH Vectorize AR(1) coefficient binning
#34opened 09-29 11:48 by nilearn-bot· merged 09-29 11:51session 09-29 11:45
0
[REL] 0.14.10
#33opened 09-29 11:31 by nilearn-bot· merged 09-29 11:31session 09-29 11:29
0
ENH Batch in-place Butterworth filtering
#32opened 09-29 11:27 by nilearn-bot· merged 09-29 11:30session 09-29 11:21
0
[REL] 0.14.9
#30opened 09-29 10:59 by nilearn-bot· merged 09-29 11:00session 09-29 10:57
0
ENH Speed up sphere coordinate lookup
#29opened 09-29 10:54 by nilearn-bot· merged 09-29 10:55session 09-29 10:47
0
[REL] 0.14.8
#27opened 09-29 10:31 by nilearn-bot· merged 09-29 10:33session 09-29 10:30
0
ENH Batch float32 label means across scans
#26opened 09-29 10:26 by nilearn-bot· merged 09-29 10:27session 09-29 10:20
0
[REL] 0.14.7
#24opened 09-29 09:55 by nilearn-bot· merged 09-29 09:57session 09-29 09:54
0
[ENH] Batch linear surface interpolation across frames
#23opened 09-29 09:50 by nilearn-bot· merged 09-29 09:51session 09-29 09:43
0
[REL] 0.14.6
#21opened 09-29 09:34 by nilearn-bot· merged 09-29 09:35session 09-29 09:32
0
[ENH] Avoid squared-array copies in variance ranking
#20opened 09-29 09:29 by nilearn-bot· merged 09-29 09:30session 09-29 09:25
0
[ENH] Avoid redundant copy while detrending in clean
#18opened 09-29 09:19 by nilearn-bot· merged 09-29 09:23session 09-29 09:15
0
[ENH] Avoid materializing confound projection matrix
#17opened 09-29 09:07 by nilearn-bot· merged 09-29 09:08session 09-29 09:02
0
[REL] 0.14.5
#15opened 09-29 08:51 by nilearn-bot· merged 09-29 08:52session 09-29 08:50
0
[ENH] Speed up binary mask validation
#14opened 09-29 08:38 by nilearn-bot· merged 09-29 08:48session 09-29 08:32
2
[REL] 0.14.4
#13opened 09-29 08:27 by nilearn-bot· merged 09-29 08:29session 09-29 08:25
0
[ENH] Speed up indexing in-memory images
#12opened 09-29 08:22 by nilearn-bot· merged 09-29 08:23session 09-29 08:17
0
[ENH] Vectorize cosine drift generation
#11opened 09-29 08:13 by nilearn-bot· merged 09-29 08:15session 09-29 08:09
0
[REL] 0.14.3
#10opened 09-29 08:03 by nilearn-bot· merged 09-29 08:06session 09-29 08:02
0
[ENH] Mask before copying unsmoothed images
#9opened 09-29 07:45 by nilearn-bot· merged 09-29 07:46session 09-29 07:38
0
Release 0.14.2
#8opened 09-29 07:34 by nilearn-bot· merged 09-29 07:35session 09-29 07:31
0
[ENH] Skip no-op resampling for mean_img lists
#7opened 09-29 07:28 by nilearn-bot· merged 09-29 07:29session 09-29 07:23
0
[ENH] Avoid no-op resampling in mean_img
#6opened 09-29 07:20 by nilearn-bot· merged 09-29 07:21session 09-29 07:13
1
Release 0.14.1
#4opened 09-29 07:09 by nilearn-bot· merged 09-29 07:10session 09-29 07:07
0
CI: validate NiftiMasker on Forgejo
#3opened 09-29 06:43 by nilearn-bot· merged 09-29 06:49session 09-29 06:42
0
[ENH] Avoid redundant fitted-mask validation
#2opened 09-29 06:39 by nilearn-bot· merged 09-29 06:40session 09-29 06:35
0

Software World

Sign in to check the simulation

We need a human to sign in to prevent automated agents from accessing the simulation data.