0.4.0

What's Changed

• Adding participation in PyTorch Ecosystem to Readme by @simona-rc in #285
• 🧹 Integrate nb-clean by @SagiPolaczek in #287
• added ability to ignore kwargs in function string descriptor building logic, and solved an issue in run_multiprocessed in verbose=0 case by @YoelShoshan in #286
• perplexity impl + post collect func process fix by @mosheraboh in #288
• Make logging optional by @shatz01 in #289
• few fixes to enable pl2 - and limit pl version until all tests will … by @mosheraboh in #291
• Support for pl2 in simple mnist example by @shatz01 in #294
• multiprocessing improvements by @YoelShoshan in #296
• Shatz batch sampler by @shatz01 in #299
• fixed num_available_cores to work correctly in distributed setting in LSF (using cores affinity) by @YoelShoshan in #300
• cindex: make pred np.array to allow negation by @michalozeryflato in #298
• add backbone mvit by @liamhazan in #293
• added an op to replace elements of value X with value Y - supporting numpy array, torch tensors, lists, and strings by @YoelShoshan in #302
• Support Lightning >=2.0.0 and Pandas >=2.0.0 by @SagiPolaczek in #301
• make components more general by @mosheraboh in #305
• mypy typing fix by @SagiPolaczek in #304
• resnet 3d with first channels dim != 64 bugfix by @itaijj in #308
• Resnet3d bug fix by @itaijj in #309
• add a flag to metric to avoid multigpu collection by @mosheraboh in #311
• Fix ISIC's ResNet run (Poriya) by @SagiPolaczek in #312
• Prep for long train by @mosheraboh in #313
• small fix. more intuitive condition for main process run by @alex-golts in #315
• update resnet with pool option, added contrastive supervised loss by @shakedpe in #314
• new picai seg by @itaijj in #310
• Shaked fuse by @shakedpe in #317
• cleaning and reorganizing fuse core code on segmentation by @itaijj in #318
• Refactoring: .flake8 & .mypy.ini -> setup.cfg by @SagiPolaczek in #319
• multiple validation dataloaders in common lightning module by @mosheraboh in #321
• Remove pyproject.toml by @SagiPolaczek in #323
• add an option in CollateDefault to add fixed items to batch_dict by @mosheraboh in #324
• add weight to extract loss class by @mosheraboh in #325
• Shaked fuse by @shakedpe in #327
• OpFunc: input=None passes the entire sample_dict by @michalozeryflato in #326
• Support a better string representation for NDict by @SagiPolaczek in #328
• add ignore_index to auc_roc metric by @michalozeryflato in #329
• adding torch_utils with select method similar to numpy by @michalozeryflato in #331
• clearml logger + improved mnist starter by @shatz01 in #330
• Added __len__ to PipelineDefault by @SagiPolaczek in #333
• Bfloat16 support by @mosheraboh in #334
• add a method to add sample ids to a dataset by @michalozeryflato in #332
• OpSetRandomChoice by @mosheraboh in #335
• Make op_id a really optional argument in OpCast by @SagiPolaczek in #337
• pearson correlation metric by @alex-golts in #338
• Added readthedocs config for documentation by @rakesh9177 in #339
• Make NDict (hopefully) lighter to import by @SagiPolaczek in #342
• Support TSV files in file_io by @SagiPolaczek in #341
• Add OpReplaceAnyElements to ops_common by @sivanravidos in #340
• Crop padding in collate by @liamhazan in #343
• support pl module test step by @sivanravidos in #344
• Perplexity gpu mem optimization by @mosheraboh in #345
• adds count num sequences and tokens metric by @mosheraboh in #346
• shared memory utility helping to speedup reading from files significantly if enough RAM is available by @YoelShoshan in #347
• Crop pad fix by @IdoAmosIBM in #348
• Bump GitHub workflows' python version to 3.9 by @SagiPolaczek in #350
• add workaround to support fsdp by @mosheraboh in #353
• collate now supports minimal dimension + added more support in samples cacher + added interface validation utility by @YoelShoshan in #349
• MetricCountSeqAndTokens counst tokens in label (if exist) + improving epoch metrics print by @michalozeryflato in #352
• implement hdf5 dataset reader op by @mosheraboh in #356
• use scipy implementation for Pearson correlation by @alex-golts in #355
• Matching keys lengths and new metrics by @IdoAmosIBM in #358
• min_size_per_dim + changes for scalars inputs+outputs support by @YoelShoshan in #354
• new OpRandCrop for augmentation by @bensha6757 in #360
• Oai example by @liamhazan in #361
• fixed bug of specificity calculation by @ellabarkan in #359
• clearml offline mode by @mosheraboh in #363
• added new metrics for regression tasks by @IdoAmosIBM in #364
• to backward support packages importing metrics from a previous sub module by @YoelShoshan in #365
• move modular tokenizer to fuse by @mosheraboh in #366
• support custom configure_optimizers method and avoid from saving random model by default by @mosheraboh in #367
• avoid from gpu sync attempt when using single gpu by @mosheraboh in #369
• Integrate ModularTokenizerOp with Hugging Face remote 🤗 by @SagiPolaczek in #368
• multi test dataloaders by @mosheraboh in #370
• adding r2 metric by @mosheraboh in #371
• Add new tokens to tokenizer op by @matanninio in #373
• rmse score fix by @mosheraboh in #372
• advancing to scalars gen2 by @YoelShoshan in #374
• Tokenizer's default behavior on unknown token by @SagiPolaczek in #375
• Bug fix in ModularTokenizer.decode() when the input is torch.Tensor type by @SagiPolaczek in #376
• Bump python version for MAMMAL release by @SagiPolaczek in #377

New Contributors

• @shakedpe made their first contribution in #314
• @rakesh9177 made their first contribution in #339
• @sivanravidos made their first contribution in #340
• @IdoAmosIBM made their first contribution in #348
• @bensha6757 made their first contribution in #360
• @matanninio made their first contribution in #373

Full Changelog: 0.3.0...0.4.0