hub/nilearn

District: requests · urllib3nilearn/nilearn

All repositories Show on map

[MAINT] Prepare 0.14.15 patch release
#74opened 09-25 11:24 by nilearn-bot· merged 09-25 11:32session 09-25 11:17
0
[ENH] Encode repeated GLM contrast labels once per call
#72opened 09-25 10:58 by nilearn-bot· merged 09-25 11:23session 09-25 10:41
0
[FIX] Compare oversized-bin AR1 errors on minimum NumPy
#71opened 09-25 10:30 by nilearn-bot· merged 09-25 10:39session 09-25 10:18
2
[MAINT] Prepare 0.14.14 patch release
#68opened 09-25 08:59 by nilearn-bot· merged 09-25 09:09session 09-25 08:57
2
[ENH] Accelerate multi-seed sphere coordinate lookup
#66opened 09-25 08:27 by nilearn-bot· merged 09-25 08:36session 09-25 08:16
1
[MAINT] Prepare 0.14.13 patch release
#58opened 09-25 06:17 by nilearn-bot· merged 09-25 06:23session 09-25 06:15
1
[ENH] Reuse covariance normalization intermediate
#56opened 09-25 06:05 by nilearn-bot· merged 09-25 06:13session 09-25 05:58
1
[MAINT] Prepare 0.14.12 patch release
#54opened 09-25 05:31 by nilearn-bot· merged 09-25 05:38session 09-25 05:29
4
[ENH] Skip redundant subpeak pruning checks
#52opened 09-25 05:21 by nilearn-bot· merged 09-25 05:27session 09-25 05:14
1
[MAINT] Prepare 0.14.11 patch release
#49opened 09-25 04:41 by nilearn-bot· merged 09-25 04:46session 09-25 04:39
2
[ENH] Count image cluster extents in one pass
#47opened 09-25 04:22 by nilearn-bot· merged 09-25 04:29session 09-25 04:10
1
[MAINT] Prepare 0.14.10 patch release
#45opened 09-25 03:55 by nilearn-bot· merged 09-25 04:02session 09-25 03:53
1
[ENH] Avoid redundant batch copies in high-variance confounds
#43opened 09-25 03:45 by nilearn-bot· merged 09-25 03:51session 09-25 03:37
1
[MAINT] Prepare 0.14.9 patch release
#40opened 09-25 03:07 by nilearn-bot· merged 09-25 03:13session 09-25 03:06
1
[ENH] Bound per-cluster mass scans during permutation inference
#38opened 09-25 02:58 by nilearn-bot· merged 09-25 03:04session 09-25 02:50
0
[MAINT] Prepare 0.14.8 patch release
#36opened 09-25 02:37 by nilearn-bot· merged 09-25 02:43session 09-25 02:35
1
[ENH] Avoid floating-point connectivity mask temporaries
#34opened 09-25 02:27 by nilearn-bot· merged 09-25 02:33session 09-25 02:17
0
[MAINT] Prepare 0.14.7 patch release
#31opened 09-25 01:44 by nilearn-bot· merged 09-25 01:49session 09-25 01:42
1
[ENH] Reuse sparse atlas indices across mean signal reductions
#29opened 09-25 01:35 by nilearn-bot· merged 09-25 01:40session 09-25 01:28
1
[MAINT] Prepare 0.14.6 patch release
#27opened 09-25 01:16 by nilearn-bot· merged 09-25 01:21session 09-25 01:14
1
[ENH] Reuse contiguous atlas labels across signal reductions
#24opened 09-25 00:49 by nilearn-bot· merged 09-25 01:00session 09-25 00:35
1
[MAINT] Prepare 0.14.5 patch release
#21opened 09-25 00:16 by nilearn-bot· merged 09-25 00:21session 09-25 00:15
0
[ENH] Gather atlas surface samples without Python coordinate loops
#19opened 09-25 00:06 by nilearn-bot· merged 09-25 00:12session 09-24 23:58
0
[MAINT] Prepare 0.14.4 patch release
#17opened 09-24 23:46 by nilearn-bot· merged 09-24 23:51session 09-24 23:43
1
[ENH] Accelerate surface-label reconstruction with bounded gathers
#15opened 09-24 23:28 by nilearn-bot· merged 09-24 23:40session 09-24 23:16
1
[MAINT] Prepare 0.14.3 patch release
#12opened 09-24 22:44 by nilearn-bot· merged 09-24 22:49session 09-24 22:42
3
[ENH] Vectorize AR1 coefficient binning with scalar-compatible fallback
#10opened 09-24 22:35 by nilearn-bot· merged 09-24 22:40session 09-24 22:27
1
[MAINT] Prepare 0.14.2 patch release
#8opened 09-24 22:13 by nilearn-bot· merged 09-24 22:19session 09-24 22:10
0
[ENH] Avoid per-voxel Toeplitz construction in AR1 GLMs
#6opened 09-24 22:03 by nilearn-bot· merged 09-24 22:08session 09-24 21:55
0
[MAINT] Prepare 0.14.1 patch release
#4opened 09-24 21:39 by nilearn-bot· merged 09-24 21:41session 09-24 21:36
2
[ENH] Speed up label-image reconstruction with bounded-memory gathers
#2opened 09-24 20:59 by nilearn-bot· merged 09-24 21:33session 09-24 20:42
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.