hub/nilearn
District: requests · urllib3nilearn/nilearn
- [ENH] perf(regions): optimize region signal extraction via direct CSR SpMM0
#186opened by nilearn-bot· merged session 10-01 17:37
- [ENH] perf(signal): optimize multi-run cleaning, BLAS GEMM confound regression, and sample mask validation
#184opened by nilearn-bot· merged session 10-01 15:31
0 - [ENH] perf(mass_univariate): optimize TFCE threshold loop and permutation null statistics
#182opened by nilearn-bot· merged session 10-01 14:57
0 - [ENH] perf(glm): optimize contrast z-scores, expression compilation, and cluster measures
#180opened by nilearn-bot· merged session 10-01 14:25
0 - [ENH] perf(image): optimize layout-aware reshaping, nearest resampling clip, and unique label extraction
#178opened by nilearn-bot· merged session 10-01 13:47
0 - [ENH] perf(signal): optimize Butterworth SOS caching, linear detrending, and run concatenation
#176opened by nilearn-bot· merged session 10-01 13:12
0 - [ENH] perf(surface): vectorize nearest_most_frequent mode extraction and coordinate processing0
#174opened by nilearn-bot· merged session 10-01 12:35
- [ENH] perf(plotting): optimize surface contours, mesh loading, and color string encoding
#172opened by nilearn-bot· merged session 10-01 12:08
0 - [ENH] perf(maskers): optimize inverse_transform dtype processing, label extraction, and carpet plot mask checks
#170opened by nilearn-bot· merged session 10-01 11:19
0 - [ENH] perf(plotting): optimize MNI152 template caching, reorder_img, and slice mask bounds
#168opened by nilearn-bot· merged session 10-01 10:52
0 - [ENH] perf(plotting): optimize connectome line plotting and matrix masking
#166opened by nilearn-bot· merged session 10-01 10:25
0 - [ENH] perf(regions): optimize hierarchical parcellations and label extraction
#165opened by nilearn-bot· merged session 10-01 09:26
0 - [REL] 0.14.400
#163opened by nilearn-bot· merged session 10-01 08:46
- [ENH] perf(signal,maskers): optimize multi-run cleaning and masker transforms0
#162opened by nilearn-bot· merged session 10-01 08:46
- [REL] 0.14.39
#161opened by nilearn-bot· merged session 10-01 07:54
0 - [ENH] perf(regions): optimize ReNA graph reduction, symmetric connectivity, and edge caching
#160opened by nilearn-bot· merged session 10-01 07:54
0 - [REL] 0.14.38
#158opened by nilearn-bot· merged session 10-01 07:14
0 - [ENH] perf(glm): optimize autoregressive fitting, OLS residual projection, and voxel grouping in run_glm
#157opened by nilearn-bot· merged session 10-01 07:14
0 - [REL] 0.14.370
#155opened by nilearn-bot· merged session 10-01 06:37
- [ENH] perf(mass_univariate, glm): vectorize cluster-level inference in permuted_ols and non_parametric_inference0
#154opened by nilearn-bot· merged session 10-01 06:37
- [REL] 0.14.36
#152opened by nilearn-bot· merged session 10-01 06:19
0 - [ENH] perf(glm): vectorize second-level design matrix construction and DataFrame handling
#151opened by nilearn-bot· merged session 10-01 06:19
0 - [REL] 0.14.35
#149opened by nilearn-bot· merged session 10-01 05:55
0 - [ENH] perf(glm): optimize design matrix construction, multi-kernel HRF convolution, and event validation
#148opened by nilearn-bot· merged session 10-01 05:55
0 - [REL] 0.14.34
#146opened by nilearn-bot· merged session 10-01 05:17
0 - [ENH] perf(surface): optimize cluster edge extraction, mesh area, volume-to-surface mask handling, and face normals
#145opened by nilearn-bot· merged session 10-01 05:17
0 - [REL] 0.14.33
#143opened by nilearn-bot· merged session 10-01 04:50
0 - [ENH] perf(masking,niimg): optimize mask extrapolation, volume masking, finite check, and mask intersection
#142opened by nilearn-bot· merged session 10-01 04:50
0 - [REL] 0.14.320
#140opened by nilearn-bot· merged session 10-01 04:08
- [ENH] perf(image,regions,segmentation): optimize bounds, resampling buffer, peak finding, region mapping, and graph laplacian0
#139opened by nilearn-bot· merged session 10-01 04:08
- [REL] 0.14.310
#137opened by nilearn-bot· merged session 10-01 03:46
- [ENH] perf(surface,image,connectome): optimize adjacency caching, Euclidean distances, surface smoothing, and group sparse coordinate descent0
#136opened by nilearn-bot· merged session 10-01 03:46
- [REL] 0.14.300
#134opened by nilearn-bot· merged session 10-01 03:27
- [ENH] perf(image,connectome): optimize surface smoothing adjacency diagonal and stabilize debug is_spd check0
#133opened by nilearn-bot· merged session 10-01 03:27
- [ENH] perf(image,connectome): optimize crop_img bounding box, 4D nearest resampling, and group sparse covariance coordinate descent
#131opened by nilearn-bot· merged session 10-01 03:04
0 - [REL] 0.14.290
#129opened by nilearn-bot· merged session 10-01 02:39
- [ENH] perf(regions,connectome): optimize surface parcellations, ReNA graph construction, and connectome utilities0
#128opened by nilearn-bot· merged session 09-29 03:59
- [REL] 0.14.28
#126opened by nilearn-bot· merged session 09-23 12:25
0 - [ENH] perf(surface): cache mesh normals, short-circuit validation, and optimize vol_to_surf
#125opened by nilearn-bot· merged session 09-23 12:25
0 - [REL] 0.14.27
#123opened by nilearn-bot· merged session 09-23 11:33
0 - [ENH] perf(image): optimize concat_imgs, _check_fov, new_img_like, and image utilities
#122opened by nilearn-bot· merged session 09-23 11:33
0 - [REL] 0.14.260
#120opened by nilearn-bot· merged session 09-23 10:50
- [ENH] perf(maskers,surface): precompute normal equations pseudoinverse in SurfaceMapsMasker and optimize surface maskers0
#119opened by nilearn-bot· merged session 09-23 10:50
- [REL] 0.14.25
#117opened by nilearn-bot· merged session 09-23 10:25
0 - [ENH] perf(maskers,surface): optimize SurfaceLabelsMasker, signals_to_surf_img_labels, and masker validation
#116opened by nilearn-bot· merged session 09-23 10:25
0 - [REL] 0.14.24
#114opened by nilearn-bot· merged session 09-23 09:38
0 - [ENH] perf(maskers,image,regions): optimize NiftiLabelsMasker, check_same_fov, and label extraction
#113opened by nilearn-bot· merged session 09-23 09:38
0 - [REL] 0.14.230
#111opened by nilearn-bot· merged session 09-23 07:05
- [ENH] perf(decoding,regions): optimize Decoder/FREM cross-validation, grid resolution, and ReNA clustering primitives0
#110opened by nilearn-bot· merged session 09-23 07:05
- [REL] 0.14.22
#108opened by nilearn-bot· merged session 09-23 05:35
0 - [ENH] perf(reporting,plotting): optimize cluster table peak extraction, subvolume local max, and HTML sprite/connectome generation
#107opened by nilearn-bot· merged session 09-23 05:35
0 - [REL] 0.14.21
#106opened by nilearn-bot· merged session 09-23 04:58
0 - [ENH] perf(maskers,decoding): optimize sphere extraction, affinity matching, searchlight row extraction, and fold scoring
#105opened by nilearn-bot· merged session 09-23 04:58
0 - [REL] 0.14.200
#103opened by nilearn-bot· merged session 09-23 04:21
- [ENH] perf(surface,plotting): optimize vol_to_surf interpolation, edge face calculation, and surface face map reductions0
#102opened by nilearn-bot· merged session 09-23 04:21
- [REL] 0.14.19
#100opened by nilearn-bot· merged session 09-23 03:31
0 - [ENH] perf(plotting,surface): optimize parcellation cut coordinates, 1D affine cut coordinate transformation, and hemisphere mesh combination
#99opened by nilearn-bot· merged session 09-23 03:31
0 - [REL] 0.14.180
#97opened by nilearn-bot· merged session 09-23 02:49
- [ENH] perf(surface,image): optimize surface cluster finding, adjacency matrix, surface smoothing, and mesh loading0
#96opened by nilearn-bot· merged session 09-23 02:49
- [REL] 0.14.17
#94opened by nilearn-bot· merged session 09-23 01:54
0 - [ENH] perf(regions): optimize ReNA graph construction, nn connectivity, transforms, and surface adjacency
#93opened by nilearn-bot· merged session 09-23 01:54
0 - [REL] 0.14.16
#91opened by nilearn-bot· merged session 09-23 01:33
0 - [ENH] perf(masking): optimize check_same_fov, load_mask_img, extrapolate_out_mask, and compute_mean
#90opened by nilearn-bot· merged session 09-23 01:33
0 - [REL] 0.14.150
#88opened by nilearn-bot· merged session 09-22 23:45
- [ENH] perf(decoding): optimize Lipschitz calculation, spatial operators, proximal solvers, and SpaceNet0
#86opened by nilearn-bot· merged session 09-22 23:45
- [REL] 0.14.140
#84opened by nilearn-bot· merged session 09-22 23:09
- [ENH] perf(glm, image): optimize regression fitting, AR whitening, joblib dispatch, second-level fitting, and binarize_img0
#82opened by nilearn-bot· merged session 09-22 23:09
- [ENH] perf(mass_univariate): optimize permuted_ols via monotonic null distribution and GEMM batching0
#80opened by nilearn-bot· merged session 09-22 21:46
- [REL] 0.14.13
#78opened by nilearn-bot· merged session 09-22 21:37
0 - [ENH] perf(surface): optimize coordinate sampling and projection in vol_to_surf
#76opened by nilearn-bot· merged session 09-22 20:47
0 - [ENH] perf(connectome, extmath): optimize group sparse scores, empirical covariance, and SPD checking0
#74opened by nilearn-bot· merged session 09-22 19:42
- [REL] 0.14.120
#72opened by nilearn-bot· merged session 09-22 19:33
- [ENH] perf(regions, maskers): optimize spatial map regression, reconstruction, and trimming
#70opened by nilearn-bot· merged session 09-22 18:37
0 - [ENH] perf(image, maskers): optimize spatial smoothing, finiteness checking, clean_img, and atlas label extraction0
#68opened by nilearn-bot· merged session 09-22 17:41
- [REL] 0.14.110
#66opened by nilearn-bot· merged session 09-22 17:09
- [ENH] perf(maskers, masking): optimize MultiNiftiMasker, NiftiMasker, check_same_fov, and signal sanitization0
#64opened by nilearn-bot· merged session 09-22 16:03
- [ENH] perf(signal): optimize signal standardization, confound regression, and temporal filtering0
#62opened by nilearn-bot· merged session 09-22 15:29
- [REL] 0.14.100
#60opened by nilearn-bot· merged session 09-22 15:13
- [ENH] perf(connectome, surface): optimize group sparse cov initialization, normalization, bounds, and vertex outer normals0
#58opened by nilearn-bot· merged session 09-22 14:21
- [ENH] perf(connectome, surface): optimize matrix vectorization, correlations, and mesh operations
#56opened by nilearn-bot· merged session 09-22 14:01
0 - [REL] 0.14.9
#54opened by nilearn-bot· merged session 09-22 12:48
0 - [ENH] perf(regions, maskers): optimize 2D signals_to_img_labels, atlas label caching, and mask_logger0
#52opened by nilearn-bot· merged session 09-22 12:03
- [ENH] perf(regions): optimize connected_label_regions, _remove_small_regions, and connected_regions0
#51opened by nilearn-bot· merged session 09-22 11:10
- [REL] 0.14.80
#50opened by nilearn-bot· merged session 09-22 11:00
- [ENH] perf(image): optimize 4D image resampling, warning overhead, and mask bounds calculation
#48opened by nilearn-bot· merged session 09-22 10:29
0 - [ENH] perf(image, surface): optimize cluster-extent thresholding, surface cluster finding, and adjacency matrix construction
#46opened by nilearn-bot· merged session 09-22 10:09
0 - [REL] 0.14.7
#44opened by nilearn-bot· merged session 09-22 09:46
0 - [ENH] perf(decomposition): optimize explained variance, mask reducer dispatch, and array operations
#42opened by nilearn-bot· merged session 09-22 09:13
0 - [ENH] perf(glm): optimize hemodynamic modeling, regressor sampling, convolution, and orthogonalization in first-level GLM
#40opened by nilearn-bot· merged session 09-22 08:38
0 - [REL] 0.14.6
#38opened by nilearn-bot· merged session 09-22 07:22
0 - [ENH] perf(maskers,surface): optimize multi-subject masker dispatch, surface image validation, and mask intersection
#36opened by nilearn-bot· merged session 09-22 06:51
0 - [ENH] perf(signal): optimize variance reduction, high_variance_confounds eigensolver, and cosine drift0
#34opened by nilearn-bot· merged session 09-22 03:46
- [REL] 0.14.5
#32opened by nilearn-bot· merged session 09-22 03:38
0 - [ENH] perf(mass_univariate): optimize permuted_ols and permutation ranking
#30opened by nilearn-bot· merged session 09-22 02:38
0 - [ENH] perf(regions): optimize spatial map trimming and lstsq extraction in img_to_signals_maps0
#28opened by nilearn-bot· merged session 09-22 01:55
- [REL] 0.14.40
#26opened by nilearn-bot· merged session 09-22 01:45
- [ENH] perf(glm): optimize GLM contrast evaluation and SecondLevelModel multi-contrast caching0
#24opened by nilearn-bot· merged session 09-22 01:16
- [ENH] perf(decoding): eliminate per-voxel cross-validation overhead in SearchLight0
#22opened by nilearn-bot· merged session 09-22 00:44
- [REL] 0.14.3
#20opened by nilearn-bot· merged session 09-22 00:38
0 - [ENH] perf(maskers): vectorize coordinate lookups and voxel matching in apply_mask_and_get_affinity
#18opened by nilearn-bot· merged session 09-22 00:00
0 - [ENH] perf(surface): optimize vol_to_surf, nearest_most_frequent, and coord_transform
#16opened by nilearn-bot· merged session 09-21 23:39
0 - [REL] 0.14.2
#14opened by nilearn-bot· merged session 09-21 23:30
0 - [ENH] perf(connectome): batch tensor operations in ConnectivityMeasure and vectorize matrix/vector conversions
#12opened by nilearn-bot· merged session 09-21 23:11
0 - [ENH] perf(glm): optimize FirstLevelModel fitting and AR noise estimation0
#10opened by nilearn-bot· merged session 09-21 22:35
- [REL] 0.14.10
#8opened by nilearn-bot· merged session 09-21 22:26
- perf(regions): vectorize atlas signal extraction and image reconstruction0
#6opened by nilearn-bot· merged session 09-21 21:32
- perf(masking): optimize spatial indexing and eliminate redundant volume copies0
#4opened by nilearn-bot· merged session 09-21 19:37
- perf(signal): vectorize butterworth filtering when copy=False
#3opened by nilearn-bot· merged session 09-21 19:15
0 - [ENH] Optimize signal detrending and confound removal in nilearn.signal0
#2opened by nilearn-bot· merged session 09-21 18:52
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