2.8.0 Initial Release

Initial release of 2.8.0. Human-written release notes to be added soon. We will be doing stability checks over the next few weeks with bugfixes going in 2.8.1

What's Changed

• Bug Fix #3086 by @advikavs in #3096
• Update by @BalajiAI in #3110
• Molnet added example and w matrix explanation by @tonydavis629 in #3143
• flake8 configuration update by @arunppsg in #3136
• Fixing issue 3090 by @advikavs in #3097
• Updating RDKitDescriptors featurizer to support custom descriptors by @arunppsg in #3135
• Update hyperlink for "datasets already available in MolNet" in docs by @ARY2260 in #3152
• Refactoring DMPNN: removing _MapperDMPNN class by @arunppsg in #3158
• Changing indent width to 4 - setup.cfg by @advikavs in #3160
• Merge dataset when the dimension of y is 1 by @advikavs in #3163
• PEP8 for layers by @tonydavis629 in #3167
• Yapf fixes on pytorch_datasets.py by @advikavs in #3165
• yapf on datasets.py by @arunppsg in #3166
• yapf fixes deepchem/data/data_loader.py by @advikavs in #3171
• Feedforward by @tonydavis629 in #3164
• yapf fixes to data/tests by @advikavs in #3173
• yapf fixes on torch_model.py by @arunppsg in #3172
• yapf fixes to trans/tests directory by @maithili232 in #3178
• yapf fixes to featurizers by @advikavs in #3177
• type fixes for pep 484 compliance by @arunppsg in #3181
• yapf fixes deepchem/models by @advikavs in #3186
• Adding grover featurizer by @arunppsg in #3138
• yapf on deepchem/hyper by @maithili232 in #3188
• yapf fixes deepchem keras models by @advikavs in #3192
• adding dqc to deepchem by @advikavs in #3196
• yapf fixes to deepchem featurizers by @advikavs in #3198
• yapf fixes on deepchem/metalearning by @maithili232 in #3197
• yapf on deepchem/utils part one by @maithili232 in #3203
• yapf on deepchem/utils/test by @maithili232 in #3202
• DeepChem package version update in init.py by @arunppsg in #3194
• yapf on deepchem/metrics by @maithili232 in #3199
• Yapf fixes on molnet directory by @maithili232 in #3169
• yapf fixes on deepchem/utils part three by @maithili232 in #3205
• changed indentation width to 4 spaces in deepchem/models/layers.py by @brianpzaide in #3210
• yapf fixes on deepchem/trans directory by @maithili232 in #3170
• Changing indent width to 4 by @GreatRSingh in #3207
• Yapf fixes on test directories by @arunppsg in #3212
• yapf on deepchem/utils part two by @maithili232 in #3204
• DQC Pytest by @advikavs in #3220
• Changing indent width to 4 spaces on deepchem/models dir by @arunppsg in #3213
• Yapf fixes on deepchem.feat module by @arunppsg in #3211
• Changing indent to 4 spaces on rl, split, molnet, dock dir by @arunppsg in #3216
• DFT initial pr - Adding utilities by @advikavs in #3190
• fixing dqc pytest by @advikavs in #3232
• Fix flake8 errors by @brianpzaide in #3235
• Fixing CI by @arunppsg in #3244
• Adding attention layers by @arunppsg in #3183
• update quickstart installation procedure by @vsaravind01 in #3249
• Adding Usage Examples to Splitters by @GreatRSingh in #3241
• ModularTorchModel by @tonydavis629 in #3242
• Adding grover layers by @arunppsg in #3179
• Refactor MLP by @tonydavis629 in #3257
• Infograph by @tonydavis629 in #3254
• added base vocabulary builder by @arunppsg in #3265
• Adding readout layers for use in grover by @arunppsg in #3269
• Fix: flake8 link by @gauthamk02 in #3276
• Adding yapf ignore by @advikavs in #3279
• Adding hugging-face tokenizer by @arunppsg in #3270
• Adding more grover layers by @arunppsg in #3277
• ci fix by @advikavs in #3286
• Adding DFT data classes by @advikavs in #3284
• Graphdata.numpy_to_torch() by @tonydavis629 in #3283
• Grover vocabulary builder by @arunppsg in #3281
• Batchgraph edge_index bug fix by @tonydavis629 in #3291
• New Code formatting CI by @arunppsg in #3278
• Global and Local Mutual Information Loss by @tonydavis629 in #3292
• add to device for numpy to torch by @tonydavis629 in #3299
• Snap featurizer by @tonydavis629 in #3266
• pin torch-sparse to 0.6.16 by @tonydavis629 in #3303
• align torch device in MI Loss by @tonydavis629 in #3301
• removed embedding output type arg in grover by @arunppsg in #3300
• Surpress assignment errors in graph_data by @tonydavis629 in #3304
• Rename Infograph to InfoGraphStar, add documentation and fixes by @tonydavis629 in #3282
• removing scipy pin by @arunppsg in #3309
• PR on nnlda layer by @advikavs in #3237
• Batching kwargs in batch graph by @arunppsg in #3294
• Infograph and InfographStar by @tonydavis629 in #3280
• Wrapper to use hugging face algorithms for building vocabulary by @arunppsg in #3271
• Revert pull request 3271 - wrapper to use hugging face algorithms for vocabulary building by @arunppsg in #3314
• Docs fix by @tonydavis629 in #3313
• DFTYaml Loader by @advikavs in #3295
• Added grover loss functions by @arunppsg in #3297
• Docs fix remove torch sparse and scatter by @tonydavis629 in #3317
• Modular loading from pretrained by @tonydavis629 in #3305
• removed torch-scatter and torch-sparse from dependency by @arunppsg in #3319
• extracting attributes for grover model from batch graph by @arunppsg in #3312
• InfographStar Multitask Classification and Regression by @tonydavis629 in #3318
• Cleaning docstring for grover layers by @arunppsg in #3333
• Removing duplicate grover test by @arunppsg in #3329
• SCF iterations by @advikavs in #3320
• adding grover pretrain module by @arunppsg in #3334
• adding grover finetune model by @arunppsg in #3335
• Infograph test fix by @tonydavis629 in #3340
• fixing dqc docs by @advikavs in #3332
• update docstring of IRVLayer by @shoaib6174 in #3324
• Descriptive names for ci runs by @arunppsg in #3336
• adding grover pretrain model as ModularTorchModel by @arunppsg in #3272
• remnants of #3336 by @arunppsg in #3348
• GNNModular by @tonydavis629 in #3339
• Wrapper to use hugging face algorithms for building vocabulary by @arunppsg in #3316
• Supervised GNNModular tasks by @tonydavis629 in #3343
• fixing dqc workflows by @advikavs in #3361
• Adding spin and charge properties to dft data by @advikavs in #3355
• Masking tasks for GNN Modular by @tonydavis629 in #3350
• DeepGraphInfomax GNNModular pretraining task by @tonydavis629 in #3358
• Layers cheatsheet by @anoushka2000 in #3371
• add GraphData subgraph, shortest length by @tonydavis629 in #3373
• MoleculeNet Cheatsheet by @JoseAntonioSiguenza in #3368
• Context pred GNN Modular by @tonydavis629 in #3369
• DFT XC Model by @advikavs in #3363
• DeepGraphInfomaxLoss docs fix by @tonydavis629 in #3375
• Adding DFT layers to docs table by @advikavs in #3377
• Modifying calculations for polyatomic molecules by @advikavs in #3376
• Integrating Huggingface models in Deepchem by @arunppsg in #3362
• density profile loss function by @advikavs in #3381
• Adding weights to DFT datasets by @advikavs in #3380
• Tutorial render order by @Yukino2002 in #3384
• RdkitConformerFeaturizer by @tonydavis629 in #3378
• GNN Modular encoder layers by @tonydavis629 in #3372
• Added support for Multitask regression task in HuggingFace models by @arunppsg in #3389
• Fixing load from pretrained for huggingFace Models by @arunppsg in #3390
• MLP batchnorm by @tonydavis629 in #3385
• Encoder layers for 3D infomax by @tonydavis629 in #3391
• Graph utils for 3dinfomax by @tonydavis629 in #3394
• PNA layers by @tonydavis629 in #3392
• Fix Tutorial 13 on Molecular Docking by @JoseAntonioSiguenza in #3387
• chemberta in deepchem by @arunppsg in #3382
• Allow loading only specific tasks in zinc15 dataset by @arunppsg in #3399
• PNA GNN by @tonydavis629 in #3395
• Porting SetGather by @GreatRSingh in #3255
• Principal Neighborhood Aggregnation model by @tonydavis629 in #3405
• 3d GNN layer by @tonydavis629 in #3397
• fix featurization freesolv by @ARY2260 in #3407
• Net3D network by @tonydavis629 in #3401
• NTXent loss by @tonydavis629 in #3409
• fix docker build issues by @ARY2260 in #3422
• Load from pretrained test for chemberta model by @arunppsg in #3413
• fix 'gilbrat' scipy.stats error by @ARY2260 in #3424
• InfoMax3DModular by @tonydavis629 in #3406
• Porting DTNNEmbedding Layer by @GreatRSingh in #3415
• Unsorted_segment_sum and unittest by @riya-singh28 in #3430
• Update documentation of BasicMolGANModel by @shreyasvinaya in #3331
• Sorted segment sum by @riya-singh28 in #3431
• Add EdgeNetwork Layer by @riya-singh28 in #3439
• Adding gpu training support for chemberta and grover by @arunppsg in #3443
• add copy button to code blocks by @arunppsg in #3432
• Porting Weave Layer to Torch by @NimishaDey in #3428
• Adding NNPBE by @advikavs in #3418
• Porting DTNNStep Layer by @GreatRSingh in #3436
• [DOCS] note on using deepchem data dir env variable by @arunppsg in #3453
• Fix grover vocabulary builder by @arunppsg in #3450
• fixes in chemberta docstring by @arunppsg in #3442
• Porting of MolGANConvolutionLayer from tensorflow to pytorch by @shreyasvinaya in #3444
• DTNNEmbedding Layer Parameter Error Fix by @GreatRSingh in #3455
• Add mxmnet_featurizer and tests by @riya-singh28 in #3426
• changes to electron sampler for ferminet by @shaipranesh2 in #3447
• DTNNStep Parameter error Fix by @GreatRSingh in #3454
• Minor Patches by @arunppsg in #3461
• Porting of MolGANAggregationLayer from TF to Torch by @shreyasvinaya in #3460
• Added logging utils to grover vocabulary builder by @arunppsg in #3472
• Porting DTNNGather Layer by @GreatRSingh in #3446
• Adding XC model tutorial by @advikavs in #3465
• Adding pyscf to CI tests for ferminet by @shaipranesh2 in #3471
• Weavegather torch by @NimishaDey in #3448
• Fix in RDKitDescriptors by @arunppsg in #3484
• Fix typo in pytest markers of infomax by @arunppsg in #3487
• MolGANMultiConvolutionLayer Porting by @shreyasvinaya in #3470
• Adding Equivariance Tutorial by @mgyigit in #3477
• fix dockerfile v2 by @ARY2260 in #3425
• Adding function to calculate HF orbitals and made minor reformat - Ferminet by @shaipranesh2 in #3466
• Adding weighted_skip parameter to MutilayerPerceptron layer by @riya-singh28 in #3494
• MolGANEncoderLayer Porting by @shreyasvinaya in #3493
• Adding _MXMNetEnvelope layer by @riya-singh28 in #3496
• Added infograph model finetuning support by @arunppsg in #3491
• Grover finetuning fix on mps/cuda devices by @arunppsg in #3507
• Updated Tutorial doc by @Ash-29 in #3519
• Tutorial Introduction_to_Bioinformatics.ipynb updated and fixed a Bug in the code by @piyushkanadje in #3481
• Update type test to satisfy new flake8 by @arunppsg in #3521
• Global Message Passing Layer for MXMNet Model by @riya-singh28 in #3479
• MXMNetBesselBasis Layer by @riya-singh28 in #3497
• Added additional user argument to load subset of tasks in tox21 dataset by @arunppsg in #3515
• Skip scaffold generation on invalid molecules by @arunppsg in #3520
• Feature function - Batch Utils by @GreatRSingh in #3523
• Added assertion for task, mode in infograph model by @arunppsg in #3525
• Ensure built during modular model restore by @arunppsg in #3528
• Porting DTNN Class by @GreatRSingh in #3513
• adding ferminet electron feature layer by @shaipranesh2 in #3538
• chemberta set problem type in config by @arunppsg in #3540
• Porting encoder rnn by @GreatRSingh in #3536
• Porting DTNNModel Class by @GreatRSingh in #3514
• Integrated dqc.grid.base_grid.BaseGrid dependency into DeepChem by @vmm221313 in #3531
• Adding ferminet envelope layer and dqc test fix by @shaipranesh2 in #3541
• Fix restoring PyTorch trained model on different device by @vsaravind01 in #3542
• Fix restoring HuggingFaceModel model trained on different device by @vsaravind01 in #3547
• Local Message Passing layer for MXMNet Model by @riya-singh28 in #3480
• Integrating DQC: SpinParam + BaseQCCalc by @vmm221313 in #3549
• fix optimizer bug in TF tests by @shreyasvinaya in #3563
• Making InfoMax3D similar to original implementation by @arunppsg in #3560
• add wigner D by @mgyigit in #3558
• Porting decoder rnn by @GreatRSingh in #3537
• minor api changes for ferminet layers by @shaipranesh2 in #3551
• Typos by @CurtisColwell in #3570
• Utilities for SeqToSeq Model. by @GreatRSingh in #3569
• Update to infomax3d model by @arunppsg in #3561
• MXMNetSphericalBasis Layer by @riya-singh28 in #3499
• Porting variational by @GreatRSingh in #3546
• Ferminet forward pass complete by @shaipranesh2 in #3552
• Infomax3D support for finetuning by @arunppsg in #3564
• Porting seqtoseq Class by @GreatRSingh in #3576
• Added support for classification in infograph model by @arunppsg in #3575
• Update classification pred computation in infomax model by @arunppsg in #3581
• DFT Utilities [PR-1] [Config | Ztypes] by @GreatRSingh in #3588
• adding complete forward and backward pass for ferminet pretraining by @shaipranesh2 in #3553
• Memory Utilities [DFT] [PR-2] by @GreatRSingh in #3590
• periodic table Utilities [DFT] [PR-3] by @GreatRSingh in #3591
• Revert "periodic table Utilities [DFT] [PR-3]" by @rbharath in #3598
• adding energy function for ferminet by @shaipranesh2 in #3596
• Gan by @shreyasvinaya in #3586
• Deep dft periodic table Utils by @GreatRSingh in #3600
• Added Weave class and WeaveModel class by @NimishaDey in #3529
• Seq to seq model by @GreatRSingh in #3583
• Correction in docs by @NimishaDey in #3611
• doc fix on keras models by @KitVB in #3585
• Atomic Convolution Module with Pytorch by @JoseAntonioSiguenza in #3617
• Attrribute Utilities for EditableModule by @GreatRSingh in #3612
• added documentation tutorials by @KitVB in #3619
• Scscore docs fixes and added References by @aaronrockmenezes in #3595
• Tokenizer Fix by @GreatRSingh in #3628
• Lattice [DFT] by @GreatRSingh in #3627
• Fix Mac Build by @shreyasvinaya in #3629
• Fix PR for acnn test by @JoseAntonioSiguenza in #3638
• Editable module by @GreatRSingh in #3618
• Utility to build grover vocab from csv by @arunppsg in #3621
• Improvements to grover runtime by @arunppsg in #3615
• Parse Molecule Description by @GreatRSingh in #3641
• Atomic Contributions bug fix by @MarcS18 in #3632
• Orbparams by @GreatRSingh in #3626
• Spin Param and Val Grad by @GreatRSingh in #3646
• bumping torch to 2.1.0 for CI by @shaipranesh2 in #3633
• mypy fix by @GreatRSingh in #3656
• Broadcast Utils [LinearOperator] by @GreatRSingh in #3648
• Jax Test Fix by @GreatRSingh in #3658
• GANModel Porting by @shreyasvinaya in #3601
• BaseXC by @GreatRSingh in #3649
• Fixes test on ci by @arunppsg in #3654
• Bumping torch 2.1.0 for dqc by @shaipranesh2 in #3661
• Added output_types in grover by @arunppsg in #3644
• LightGBM - GBDT model earlystop bug fix by @aaronrockmenezes in #3614
• CI Unit tests fix by @shreyasvinaya in #3662
• Miscellaneous methods for differentiation_utils. by @GreatRSingh in #3665
• Ferminet: adding torch.func and changes to model input type by @shaipranesh2 in #3623
• mypy fix for ferminet energy function by @shaipranesh2 in #3671
• AddXC [Basexc Helper class] by @GreatRSingh in #3670
• LinearOperator Base Class by @GreatRSingh in #3659
• Jax Tests fix by @shreyasvinaya in #3680
• Mypy Fix by @shreyasvinaya in #3681
• Adding DeepChemXAlphafold tutorial by @soulpower007 in #3574
• Dmpnn test fix by @shreyasvinaya in #3677
• BaseGrid by @GreatRSingh in #3669
• ADD tutorial: openpom for olfaction by @ARY2260 in #3684
• MolNet BBBC Load Function fix by @aaronrockmenezes in #3676
• Add attention mask for chemberta by @arunppsg in #3667
• mamba warning fix by @shreyasvinaya in #3688
• FermiNet Training Complete (Bacward pass + Forward) by @shaipranesh2 in #3689
• AddLinearOperator [Linear Operator Helper Class] by @GreatRSingh in #3679
• Mulbasexc by @GreatRSingh in #3678
• Wgan Porting by @shreyasvinaya in #3666
• Bump up pytorch-lightning to 2.1.2 by @shreyasvinaya in #3687
• Update requirements.rst to current req by @shreyasvinaya in #3690
• Added Links for wishlists by @aaronrockmenezes in #3691
• Fix classification in infomax3d by @arunppsg in #3696
• BaseDF Main Class by @GreatRSingh in #3699
• Add Atomic Convolution Model in Pytorch by @JoseAntonioSiguenza in #3698
• Fix Atomic Convolution Model (ACNN) tests in Pytorch and Tensorflow by @JoseAntonioSiguenza in #3702
• Update models init.py by @P-Kelley in #3705
• BaseHamilton Main Class by @GreatRSingh in #3701
• MulLinearOperator LinearOperator Helper Class by @GreatRSingh in #3708
• Safe Operations by @GreatRSingh in #3712
• Fix Transformers Pin and Docs by @shreyasvinaya in #3693
• add vina to python 3.10 by @shreyasvinaya in #3713
• remove mypy pin by @shreyasvinaya in #3697
• Fixed missing comma that broke notebook and switched glitter to discord by @P-Kelley in #3711
• error fix in safeops by @GreatRSingh in #3718
• fix read the docs build by @shreyasvinaya in #3720
• OrbParam Shift to deep_dft by @GreatRSingh in #3721
• read the docs fix by @shreyasvinaya in #3724
• Added weight decay argument to adam optimizer by @arunppsg in #3703
• Missing Modules fix by @GreatRSingh in #3725
• Matmul linear operator by @GreatRSingh in #3727
• Modifications to Image Loader by @aaronrockmenezes in #3695
• FermiNet changes for weight initialization and minor type fix by @shaipranesh2 in #3736
• MatrixLinearOperator Support Class by @GreatRSingh in #3734
• AdjointLinearOperator LinearOperator Support class by @GreatRSingh in #3735
• DOC test fix - add to env by @GreatRSingh in #3731
• DFT example fixes by @GreatRSingh in #3738
• Added distributed loading of PyTorch DiskDataset by @arunppsg in #3704
• CGTOBasis and AtomCGTOBasis by @GreatRSingh in #3740
• Change folder to DFT by @GreatRSingh in #3732
• Base System. Parent Class of Mol Object Class by @GreatRSingh in #3742
• Update An_Introduction_To_MoleculeNet.ipynb by @naseehasalam in #3723
• Update Link in Profile About_nODE_Using_Torchdiffeq_in_Deepchem.ipynb by @shivance in #3743
• Porting MetaLearning to PyTorch by @NimishaDey in #3653
• Changed the deprecated usage of torch.Tensor.grad.data by @HridayM25 in #3726
• Documentation Fixes by @shreyasvinaya in #3714
• Tensor Non tensor separator and Uniquifier by @GreatRSingh in #3748
• fix pytorch geometric dependency by @P-Kelley in #3767
• Layers Patches by @shreyasvinaya in #3760
• symeig utility functions - 1 by @GreatRSingh in #3756
• Minor fixes to PyTorch Lightning by @arunppsg in #3766
• Distributed Trainer by @arunppsg in #3745
• symeig utility functions - 2 by @GreatRSingh in #3773
• Adding output logging for fermient by @shaipranesh2 in #3775
• Fixed ImageLoader mypy issues by @aaronrockmenezes in #3780
• Fixing inconsistency in docstring by @HridayM25 in #3779
• Doctest Ci error fixes by @GreatRSingh in #3781
• Purefunction-1 by @GreatRSingh in #3777
• Docs Build Fix by @shreyasvinaya in #3789
• Ci fixes by @shreyasvinaya in #3792
• Ci fixes by @shreyasvinaya in #3794
• Fix pypi build by @shreyasvinaya in #3795
• Dft Part - 1 [Current Open Pulls] by @GreatRSingh in #3793
• Doctest fix FermiNet by @shaipranesh2 in #3791
• Fix pypi build by @shreyasvinaya in #3806
• Addition of BBBC004 image set by @aaronrockmenezes in #3706
• rebased samloader by @KitVB in #3799
• CI Fixes by @shreyasvinaya in #3800
• CI fix - MordredFeat assertion error by @aaronrockmenezes in #3802
• Wgan fix by @shreyasvinaya in #3787
• CI Fix by @shreyasvinaya in #3811
• Dft part-2 by @GreatRSingh in #3807
• BBBC0003 Loader Addition by @aaronrockmenezes in #3788
• Highway layer torch by @Shiva-sankaran in #3801
• BBBC5 Cell Counting Loader Addition by @aaronrockmenezes in #3798
• port: base ProgressiveMultitask model to torch by @gauthamk02 in #3782
• MolGAN Torch Model by @shreyasvinaya in #3814
• adding ionic charge initialization using Hartree-Fock for FermiNet by @shaipranesh2 in #3776
• Ci fixes by @shreyasvinaya in #3815
• Fix IndexError #3810 by @quincylin1 in #3820
• adding FermiNet tutorial by @shaipranesh2 in #3819
• Bamloader by @KitVB in #3825
• Ci Fix - Storage issues on github runners by @shreyasvinaya in #3826
• Update tutorials to discord by @P-Kelley in #3835
• cramloader by @KitVB in #3830
• Updating tutorials from glitter to discord by @P-Kelley in #3839
• Improved energy calculation of FermiNet using vectorized hessian and jacobian by @shaipranesh2 in #3829
• Update homepage glitter to discord by @P-Kelley in #3844
• Fix examples.rst doc for better reproducibility by @P-Kelley in #3871
• Fixes - Torch Tests and CI storage by @shreyasvinaya in #3849
• update: ProgresiveMultitask by @gauthamk02 in #3827
• Porting TextCNN base model to Torch by @Shiva-sankaran in #3841
• Porting TextCNN model from Tensorflow to Torch by @Shiva-sankaran in #3828
• Pytest Fix (temporary) by @shreyasvinaya in #3880
• Add Python 3.11 Support by @shreyasvinaya in #3686
• DFT Part-3 by @GreatRSingh in #3817
• Added Cell counting Tutorial by @aaronrockmenezes in #3845
• Reduce import warnings by @arunppsg in #3846
• Remove invalid line in hf_models.py by @arunppsg in #3866
• Fix failing torch tests due to missing pydantic package by @shreyasvinaya in #3883
• Fix bugs on ligand handling and pdbqt ligand support by @JoseAntonioSiguenza in #3881
• Molgan GPU Support by @shreyasvinaya in #3816
• Doctest Fix for SAMLoader, BAMLoader, CRAMLoader by @KitVB in #3890
• port: ProgressiveMultitask Regressor and Classifier by @gauthamk02 in #3822
• Updating deepchem's splitters tutorial by @Dragonwagon18 in #3837
• Dft dev 4 by @GreatRSingh in #3876
• CI fixes: add flaky to some tests, fix deprecation warnings by @shreyasvinaya in #3885
• Update tutorials by @karannb in #3832
• CI Fixes: patch fix for tfp, docker build by @shreyasvinaya in #3896
• Added TextCNN wrapper TorchModel by @Shiva-sankaran in #3877
• Fix Docker Build by @shreyasvinaya in #3907
• bump up torch version to 2.2.1 by @shreyasvinaya in #3887
• Bump torch cuda version to 11.8 by @shreyasvinaya in #3917
• bump up deepchem version to 2.8.0 by @shreyasvinaya in #3936
• V2.8.0 minor fixes for release by @shreyasvinaya in #3937

New Contributors

• @maithili232 made their first contribution in #3178
• @brianpzaide made their first contribution in #3210
• @GreatRSingh made their first contribution in #3207
• @vsaravind01 made their first contribution in #3249
• @gauthamk02 made their first contribution in #3276
• @shoaib6174 made their first contribution in #3324
• @anoushka2000 made their first contribution in #3371
• @Yukino2002 made their first contribution in #3384
• @riya-singh28 made their first contribution in #3430
• @shreyasvinaya made their first contribution in #3331
• @NimishaDey made their first contribution in #3428
• @mgyigit made their first contribution in #3477
• @Ash-29 made their first contribution in #3519
• @piyushkanadje made their first contribution in #3481
• @vmm221313 made their first contribution in #3531
• @CurtisColwell made their first contribution in #3570
• @KitVB made their first contribution in #3585
• @aaronrockmenezes made their first contribution in #3595
• @MarcS18 made their first contribution in #3632
• @soulpower007 made their first contribution in #3574
• @P-Kelley made their first contribution in #3705
• @naseehasalam made their first contribution in #3723
• @HridayM25 made their first contribution in #3726
• @Shiva-sankaran made their first contribution in #3801
• @quincylin1 made their first contribution in #3820
• @Dragonwagon18 made their first contribution in #3837
• @karannb made their first contribution in #3832

Full Changelog: 2.7.1...2.8.0