v0.17.0

Summary

• 📢 KerasNLP and KerasCV are now becoming KerasHub 📢. KerasCV and KerasNLP have been consolidated into KerasHub package
• Models available now in KerasHub are albert, bart, bert, bloom, clip, csp_darknet, deberta_v3, deeplab_v3, densenet, distil_bert, efficientnet, electra, f_net, falcon, gemma, gpt2, gpt_neo_x, llama, llama3, mistral, mit, mobilenet, opt, pali_gemma, phi3, resnet, retinanet, roberta, sam, stable_diffusion_3, t5, vae, vgg, vit_det, whisper, xlm_roberta and xlnet.
• A new preprocessor flow has been added for vision and audio models

What's Changed

• Update python version in readme to 3.8 by @haifeng-jin in #618
• Modify our pip install line so we upgrade tf by @mattdangerw in #616
• Use Adam optimizer for quick start by @mattdangerw in #620
• Clean up class name and self in calls to super() by @mbrukman in #628
• Update word_piece_tokenizer.py by @ADITYADAS1999 in #617
• Add DeBERTaV3 Conversion Script by @abheesht17 in #633
• Add AlbertTokenizer and AlbertPreprocessor by @abheesht17 in #627
• Create Backbone base class by @jbischof in #621
• Add TPU testing by @chenmoneygithub in #591
• Add Base Preprocessor Class by @abheesht17 in #638
• Add keras_nlp.samplers by @chenmoneygithub in #563
• Add ALBERT Backbone by @abheesht17 in #622
• Add a small script to count parameters in our presets by @mattdangerw in #610
• Clean up examples/ directory by @ADITYADAS1999 in #637
• Fix Small BERT Typo by @abheesht17 in #651
• Rename examples/bert -> examples/bert_pretraining by @mattdangerw in #647
• Add FNet Preprocessor by @abheesht17 in #646
• Add FNet Backbone by @abheesht17 in #643
• Small DeBERTa Docstring Fixes by @abheesht17 in #666
• Add Fenced Docstring Testing by @abheesht17 in #640
• Corrected the epsilon value by @soma2000-lang in #665
• Consolidate docstring formatting weirdness in Backbone and Preprocessor base classes by @mattdangerw in #654
• Fix value_dim in TransformerDecoder's cross-attn layer by @abheesht17 in #667
• Add ALBERT Presets by @abheesht17 in #655
• Add Base Task Class by @abheesht17 in #671
• Implement TopP, TopK and Beam samplers by @chenmoneygithub in #652
• Add FNet Presets by @abheesht17 in #659
• Bump the year to 2023 by @mattdangerw in #679
• Add BART Backbone by @abheesht17 in #661
• Handle trainable and name in the backbone base class by @mattdangerw in #680
• Ignore Task Docstring for Testing by @abheesht17 in #683
• Light-weight benchmarking script by @NusretOzates in #664
• Conditionally import tf_text everywhere by @mattdangerw in #684
• Expose token_embedding as a Backbone Property by @abheesht17 in #676
• Move from_preset to base tokenizer classes by @shivance in #673
• add f_net_classifier and f_net_classifier_test by @ADITYADAS1999 in #670
• import rouge_scorer directly from rouge_score package by @sampathweb in #691
• Fix typo in requirements file juypter -> jupyter by @mattdangerw in #693
• Temporary fix to get nightly green again by @mattdangerw in #696
• GPT2 Text Generation APIs by @chenmoneygithub in #592
• Run keras saving tests on nightly and fix RobertaClassifier test by @mattdangerw in #692
• Speed up pip install keras-nlp; simplify deps by @mattdangerw in #697
• Add AlbertClassifier by @shivance in #668
• Make tokenizer, backbone, preprocessor properties settable on base class by @mattdangerw in #700
• Update to latest black by @mattdangerw in #708
• RobertaMaskedLM task and preprocessor by @mattdangerw in #653
• Default compilation for BERT/RoBERTa classifiers by @jbischof in #695
• Add start/end token padding to GPT2Preprocessor by @chenmoneygithub in #704
• Don't install tf stable when building our nightly image by @mattdangerw in #711
• Add OPT Backbone and Tokenizer by @mattdangerw in #699
• Small OPT Doc-string Edits by @abheesht17 in #716
• Default compilation other classifiers by @Plutone11011 in #714
• Add BartTokenizer and BART Presets by @abheesht17 in #685
• Add an add_prefix_space Arg in BytePairTokenizer by @shivance in #715
• Opt presets by @mattdangerw in #707
• fix import of tensorflow_text in tf_utils by @sampathweb in #723
• Check for masked token in roberta tokenizer by @mattdangerw in #742
• Improve test coverage for special tokens in model tokenizers by @mattdangerw in #743
• Fix the sampler truncation strategy by @chenmoneygithub in #713
• Add ALBERT Conversion Script by @abheesht17 in #736
• Add FNet Conversion Script by @abheesht17 in #737
• Add BART Conversion Script by @abheesht17 in #739
• Pass Correct LayerNorm Epsilon value to TransformerEncoder in Backbones by @TheAthleticCoder in #731
• Improving the layer Description. by @Neeshamraghav012 in #734
• Adding ragged support to SinePositionEncoding by @apupneja in #751
• Fix trailing space by @mattdangerw in #755
• Adding an AlbertMaskedLM task + Fix Projection layer dimension in MaskedLMHead by @shivance in #725
• New docstring example for TokenAndPosition Embedding layer. by @Neeshamraghav012 in #760
• Add a note for TPU issues for deberta_v3 by @mattdangerw in #758
• Add missing exports to models API by @mattdangerw in #763
• Autogenerate preset table by @Cyber-Machine in #690
• Version bump to 0.5.0 by @mattdangerw in #767
• Adding a FNetMaskedLM task model and preprocessor by @apupneja in #740
• Add a DistilBertMaskedLM task model by @ADITYADAS1999 in #724
• Add cache support to decoding journey by @chenmoneygithub in #745
• Handle [MASK] token in DebertaV3Tokenizer by @abheesht17 in #759
• Update README for 2.4.1 release by @mattdangerw in #757
• Fix typo in test docstring by @jbischof in #791
• Fixed Incorrect Links for FNet and DeBERTaV3 models by @Cyber-Machine in #793
• Patch 1 - doc-string spell fix by @atharvapurdue in #781
• Don't rely on core keras initializer config details by @mattdangerw in #802
• Simplify the cache decoding graph by @mattdangerw in #780
• Fix Fenced Doc-String #782 by @atharvapurdue in #785
• Solve #721 Deberta masklm model by @Plutone11011 in #732
• Add from_config to sampler by @mattdangerw in #803
• BertMaskedLM Task Model and Preprocessor by @Cyber-Machine in #774
• Stop generation once end_token_id is seen by @chenmoneygithub in #769
• Added model card links for all pretrained models. by @Cyber-Machine in #795
• Initial PR demonstrating public API export logic. by @fchollet in #747
• Add preset for finetuning GPT2 on CNN news by @chenmoneygithub in #807
• Add API exports for metrics documented on keras.io by @shivance in #816
• Add API exports for samplers documented on keras.io by @shivance in #815
• Add API exports for models documented on keras.io by @shivance in #814
• Add API exports for tokenizers documented on keras.io by @shivance in #817
• Add API exports for layers documented on keras.io by @fchollet in #811
• Add keras_nlp.utils public API exports. by @fchollet in #819
• retrained bert_tiny_uncased_en_sst2_training.ipynb by @susnato in #771
• Temporary solution to avoid recompilation by @chenmoneygithub in #808
• Call super.config() in BartBackbone's get_config() by @shivance in #818
• Update typo in README.md by @ADITYADAS1999 in #821
• Add Whisper Backbone by @abheesht17 in #801
• Added note for tensorflow-text in the CONTRIBUTING guide by @jaygala223 in #805
• Roadmap update by @jaygala223 in #800
• Remove API export decorator from base classes by @shivance in #824
• Move integration tests out of repo sources. by @fchollet in #826
• Function merge_padding_and_attention_mask does not return an output with the desired shape when both padding and attention masks are given by @abodinier in #790
• Adding XXBackboneTPUTests by @shivance in #839
• Add a t5 tokenizer by @mattdangerw in #852
• Add compilation defaults for the BertMaskedLM task model by @ADITYADAS1999 in #836
• added init file for t5 by @Akorex in #853
• Modified Docstring for GPT2CasualLM by @TheAthleticCoder in #855
• Rework bert docstrings for progressive disclosure of complexity by @mattdangerw in #843
• Fix "causal" spelling in export decorator by @abheesht17 in #861
• Default compilation for Albert, Distilbert, Roberta MaskedLM by @shivance in #833
• Speed up default BERT testing roughly 3x by @mattdangerw in #859
• Add compilation defaults for the Fnet MaskedLM task model by @soma2000-lang in #834
• Default compilation for Debertav3MaskedLM model by @Cyber-Machine in #835
• Remove from_preset from fnet tokenizer by @mattdangerw in #865
• Add T5 backbone by @fchollet in #828
• Speeding the tests for opt by @susnato in #886
• Move generate compilation to the task model by @mattdangerw in #804
• Speeding the tests for xlm_roberta by @susnato in #885
• Rework DistilBERT docstrings for progressive disclosure of complexity. by @Cyber-Machine in #881
• Speeding the tests for T5 by @susnato in #888
• Rework OPT docstrings for progressive disclosure of complexity. by @Warlord-K in #893
• Get our fenced docstring tests working again by @mattdangerw in #895
• Speed up default RoBERTa testing roughly 3x by @shivance in #897
• Speeding the tests for whisper by @susnato in #887
• Update BytePairTokenizerCache to have similar dtypes for x and y in self.factors. by @Sruinard in #871
• Init _backbone, _tokenizer and _preprocessor in Task by @jbischof in #899
• Rework Whisper docstrings for progressive disclosure of complexity by @susnato in #903
• Speed up default DeBERTa_v3 testing roughly 3x by @TheAthleticCoder in #905
• Rework docstring of XLMRoberta by @abuelnasr0 in #882
• Stripping the MASK token by @TheAthleticCoder in #876
• Possible fix for task.summary() by @mattdangerw in #901
• Speed up default FNet testing speedups. by @Cyber-Machine in #894
• Added TPU test for DebertaV3Backbone by @TheAthleticCoder in #924
• Fix failing TPU tests by @chenmoneygithub in #931
• Add model contribution guide by @abheesht17 in #820
• Resolved roberta_checkpoint by @TheAthleticCoder in #874
• GLUE evaluation automation script by @susnato in #848
• Ensure shape in sample so that the shape is correct after TFLite conversion by @chenmoneygithub in #902
• Returning all Beams and Probs and adding a Testing Unit by @TheAthleticCoder in #908
• Roberta docstring reworking by @abuelnasr0 in #910
• Speeding the tests for Albert by @soma2000-lang in #873
• Mlm mask generator docstring adding example by @abuelnasr0 in #916
• Don't save traces for saved model by @mattdangerw in #945
• Bump stable tf version to 2.12 by @mattdangerw in #944
• Speeding the tests for DistilBert by @soma2000-lang in #872
• Allow BPE to treat special tokens as one token by @chenmoneygithub in #939
• Edit examples in samplers by @abuelnasr0 in #957
• Add RandomSampler to Samplers by @abuelnasr0 in #952
• Add BartPreprocessor by @abheesht17 in #856
• Remove the old sampler utilities by @mattdangerw in #948
• Use direct imports everywhere in library by @mattdangerw in #961
• Update docstrings for relocated sampler arg by @jbischof in #964
• Fix gpt2, t5 and fnet under mixed precision by @mattdangerw in #958
• Small fixes for special_tokens arg in BPE by @abheesht17 in #969
• Add contrastive sampler by @chenmoneygithub in #896
• Mark num_classes as required in Classifier classes by @chenmoneygithub in #971
• Rework model docstrings for progressive disclosure of complexity for f_net by @ADITYADAS1999 in #879
• Handle OOV token in XLMRoBERTaTokenizer's token_to_id function by @abheesht17 in #968
• Clean up the docker and lint setup by @haifeng-jin in #981
• Update generate() to work like fit() and predict() by @mattdangerw in #932
• Speed top-p sampler up by only sampling from top-k tokens by @chenmoneygithub in #980
• Expose the generate_step compilable function by @mattdangerw in #982
• Fix decoder inputs in BART preprocessor by @abheesht17 in #984
• Convert string tensors to python strings in generate() by @mattdangerw in #983
• Adding a temperature argument to the base sampler class and related tests by @TheAthleticCoder in #951
• Track the task preprocessor layer as part of model by @mattdangerw in #985
• Add an XLMRobertaMaskedLM task model by @shivance in #950
• Add an activation argument to all classifiers by @mattdangerw in #991
• Remove activation from README quickstart by @mattdangerw in #992
• Rework albert docstrings by @mattdangerw in #993
• Rework bart docstrings by @mattdangerw in #994
• Rework deberta docstrings by @mattdangerw in #995
• Misc fixes to docstrings by @mattdangerw in #996
• Added temperature argument to the Contrastive Sampler by @TheAthleticCoder in #997
• Add OPTCausalLM and preprocessors by @chenmoneygithub in #990
• Version bump to 0.5.0.dev0 by @chenmoneygithub in #1002
• Add a flag to restrict which docstring tests run by @mattdangerw in #999
• fix docstring for 0.5 release by @chenmoneygithub in #1005
• Serialize activation fn properly by @mattdangerw in #1007
• Try adding an error if activation and loss are mismatched by @mattdangerw in #1008
• Fix docstring for 0.5 release by @chenmoneygithub in #1009
• Switch to using pip_build for release by @mattdangerw in #1011
• Make version number SSoT. by @fchollet in #827
• Add DTensor layout map class method for OPT by @mattdangerw in #1000
• Add DTensor layout map class method for GPT-2 by @mattdangerw in #1014
• Standalone functions for generate pre/post processing for GPT-2 by @mattdangerw in #998
• install namex in the publish workflow by @chenmoneygithub in #1020
• Update publish-to-pypi.yml by @chenmoneygithub in #1021
• Standalone functions for generate pre/post processing for OPT by @mattdangerw in #1015
• Fix typos in export by @chenmoneygithub in #1024
• Fix unclosed fenced docstrings by @mattdangerw in #1025
• Fix a bug with computing the output mask after generate by @mattdangerw in #1029
• small updates to the release doc by @chenmoneygithub in #1031
• Sampler docstring edit by @abuelnasr0 in #1033
• Fix program crash for id_to_token() method in SentencePieceTokenizer by @abuelnasr0 in #1040
• Update our release process to preview docs before release by @mattdangerw in #1043
• Add Whisper Tokenizer and Audio Feature Extractor by @abheesht17 in #847
• Also strip padding token for opt by @mattdangerw in #1028
• Add regex dep by @mattdangerw in #1044
• Add BartSeq2SeqLM and conditional text generation with BART by @abheesht17 in #974
• Support list/tuple inputs for special tokens in StartEndPacker layer by @abheesht17 in #1045
• Support list/tuple inputs for special tokens in MultiSegmentPacker layer by @abheesht17 in #1046
• Fix a misleading part of our cached MHA docs by @mattdangerw in #1048
• Always pass weight name by kwarg by @mattdangerw in #1053
• Always pass metrics in a list or dict by @mattdangerw in #1054
• Move Defaults to to end of arg docstring and standardise values by @SamuelMarks in #1057
• Fix beam search for BART by @abheesht17 in #1058
• Replace tf.dtype with "dtype" by @mattdangerw in #1059
• Test shapes directly by @mattdangerw in #1064
• Clean up metrics tests by @mattdangerw in #1063
• Remove metrics merge tests by @mattdangerw in #1065
• Fix whisper feature inputs by @mattdangerw in #1069
• Always specify shape when creating variables by @mattdangerw in #1067
• Remove ragged support from position embeddings by @mattdangerw in #1068
• Clean up dtype handling for preprocessing layers by @mattdangerw in #1066
• Add BART finetuned on CNN+DM for summarisation by @abheesht17 in #1060
• Fix saving bug by @mattdangerw in #1073
• Fix t5 forward pass by @mattdangerw in #1082
• Feat/make transformer decoder callable without causal mask by @ferraric in #1083
• Adding GPTNeoXBackbone by @shivance in #1056
• Add a common test case by @mattdangerw in #1095
• Update register_keras_serializable to use saving module by @mattdangerw in #1094
• Don't test tf format by @mattdangerw in #1104
• Add GPTNeoXPreprocessor by @shivance in #1093
• Split layers into layers/modeling & layers/preprocessing by @mattdangerw in #1102
• Fix merge conflict from #1102 by @mattdangerw in #1105
• Add a common base class for generative models by @mattdangerw in #1096
• Add GPTNeoXCausalLMPreprocessor by @shivance in #1106
• Add Whisper Presets by @abheesht17 in #1089
• Refactor RotaryEmbedding and GPTNeoXAttention by @shivance in #1101
• Remove all the secret keys for ci by @mattdangerw in #1126
• Fix publish to pypi action by @mattdangerw in #1127
• Update README for Keras Core by @jbischof in #1135
• Ignore errors in UTF-8 decoding by @abheesht17 in #1150
• Ports GPTNeoX to KerasCore by @shivance in #1137
• Small fix for mixed precision generation on tf by @mattdangerw in #1153
• Port DeBERTa to multi-backend by @abheesht17 in #1155
• Change all tensors passed to tf.data.Dataset to numpy by @mattdangerw in #1161
• Fix broken tests by @mattdangerw in #1163
• Pin keras-core to 0.1.0 while investigating failures by @mattdangerw in #1168
• Run GPU tests on Jax + Torch by @ianstenbit in #1160
• Fix flakes in masked lm testing by removing any indeterminism by @mattdangerw in #1171
• Always install the correct version with pip_build by @mattdangerw in #1174
• Remove tests for preprocessing inside a functional model by @mattdangerw in #1175
• Extend the timeout for large tests by @mattdangerw in #1103
• Add GPTNeoXCausalLM by @shivance in #1110
• Bump tensorflow to latest stable by @mattdangerw in #1170
• Add compute_output_shape to tokenizer by @shivance in #1166
• Stop pinning keras-core by @mattdangerw in #1178
• Port FNet by @abheesht17 in #1164
• Automate the update image flow by @mattdangerw in #1179
• Restore mask_position argument name by @mattdangerw in #1185
• Port contrastive sampler to multi-backend by @mattdangerw in #1187
• Port BeamSampler to core by @shivance in #1181
• Port metrics to multi-backend by @mattdangerw in #1186
• Generic RotaryEmbedding Layer by @shivance in #1180
• Raise ValueError when number of dims evaluate to zero by @sampathweb in #1198
• Add XLNetBackbone by @susnato in #1084
• Switch from tf.nest to dm-tree by @mattdangerw in #1199
• Fix CI for keras-core 0.1.4 by @mattdangerw in #1202
• Fix ModuleNotFoundError keras_nlp.models.xlnet by @shivance in #1204
• Add support for "untied" embedding weights in language models by @mattdangerw in #1201
• Add start_index argument to all position embedding layers by @mattdangerw in #1209
• Remove windows line endings by @mattdangerw in #1210
• Fix Autograph error with perplexity metric by @shivance in #1211
• [JAX backend]: Fix errors with perplexity by @shivance in #1213
• Improve layer naming consistency by @mattdangerw in #1219
• Stop asserting key order in bart preprocessor by @mattdangerw in #1221
• Remove file level docstrings by @mattdangerw in #1222
• Fix typos by @mattdangerw in #1220
• Typo fix by @mattdangerw in #1223
• Fix RotaryEmbedding import by @shivance in #1217
• Update transformer_decoder for the proper naming of the sublayers. by @qlzh727 in #1230
• Replace tf with numpy by @mattdangerw in #1232
• Update to always using ops.shape by @mattdangerw in #1231
• Add a test harness based on keras-core's run_layer_test by @mattdangerw in #1238
• fixed token_to_id doc + error msg by @jackd in #1240
• Changed default TokenAndPositionEmbedding initializer to 'uniform' by @jackd in #1237
• Add compat shims for the upcoming keras-core release by @mattdangerw in #1244
• Depend on latest keras-core by @mattdangerw in #1246
• Removed the undefined self.sequence_length by @sahusiddharth in #1245
• Bump devcontainer to 3.9 by @mattdangerw in #1249
• Add a mixed precision test and fix mixed precision errors for layers by @mattdangerw in #1242
• Quick fix for 0.1.7 keras-core release by @mattdangerw in #1251
• Small docstring fixes for the upcoming release by @mattdangerw in #1253
• Don't export model internals publicly by @mattdangerw in #1255
• Bump master branch version number to 0.7.0.dev0 by @mattdangerw in #1254
• Fix/allow different encoder and decoder feature dimensions in transformer decoder layer by @ferraric in #1260
• Doc updates to switch branding to Keras 3 by @mattdangerw in #1259
• Remove unused TPU testing for backbones by @mattdangerw in #1266
• Make gelu a function, not a lambda so it can be loaded without safe_mode=False by @calvingiles in #1262
• Update requirements and install instructions for multi-backend keras by @mattdangerw in #1257
• Support Keras 3 installation by @mattdangerw in #1258
• Remove dtensor by @mattdangerw in #1268
• Add a lora dense layer by @mattdangerw in #1263
• Factor out testing routines for models by @mattdangerw in #1269
• Convert T5 to Keras 3 by @nkovela1 in #1274
• Fix missing backticks in DistilBertClassifier docstrings by @Philmod in #1278
• T5 checkpoint conversion with HF by @nkovela1 in #1277
• Use gelu_approximate directly in t5 presets by @mattdangerw in #1284
• Add preset tests and weights URLs by @nkovela1 in #1285
• Support loading keras 3 nightly by @mattdangerw in #1286
• Remove the use of SentencePieceTrainer from tests by @tirthasheshpatel in #1283
• Fix XLM-RoBERTa detokenize() by @abheesht17 in #1289
• Correct tie_embedding_weights and add logit checking by @nkovela1 in #1288
• Add detokenize testing for model tokenizers by @mattdangerw in #1290
• Fix Whisper by @abheesht17 in #1287
• Test against Keras 3 by @mattdangerw in #1273
• Support TF_USE_LEGACY_KERAS by @mattdangerw in #1295
• Run workflows with read-only tokens by @pnacht in #1305
• Update CONTRIBUTING.md by @mattdangerw in #1310
• Add GitHub Action for Nightly by @sampathweb in #1309
• Fix the publish to pypi action by @mattdangerw in #1311
• Fix nightly tf failure by @mattdangerw in #1316
• Switch deberta to use the "int" dtype by @mattdangerw in #1315
• Add security policy by @pnacht in #1319
• Fix missing export for reversible embedding by @mattdangerw in #1327
• Add version API to keras_nlp by @grasskin in #1324
• Fix Keras 3 version check by @sampathweb in #1328
• Simplify running KerasNLP with Keras 3 by @mattdangerw in #1308
• Fix issues with version by @mattdangerw in #1332
• Fix typo in whisper presets files by @mattdangerw in #1337
• ELECTRA backbone implementation in keras by @pranavvp16 in #1291
• Fix t5 tokenizer expected output by @mattdangerw in #1348
• Add init.py for electra by @mattdangerw in #1352
• Remove lora dense for now by @mattdangerw in #1359
• Adds Kokoro Build script for Keras-NLP GPU tests by @sampathweb in #1355
• Fixes GPU Test failures for Keras 3 by @sampathweb in #1361
• Change Continuous config to also run only large tests by @sampathweb in #1362
• ElectraTokenizer by @pranavvp16 in #1357
• Add MistralAI's 7B Transformer as a backbone in KerasNLP Models by @tirthasheshpatel in #1314
• changing pooling output by @mbrhd in #1364
• Add LlamaBackbone by @shivance in #1203
• Align pip_build with keras by @sampathweb in #1374
• Remove cloudbuild config by @mattdangerw in #1375
• Fix one last bad preset hash by @mattdangerw in #1381
• Add a tokenizer for the Mistral backbone by @tirthasheshpatel in #1383
• Kaggle Presets by @sampathweb in #1365
• Fix mistral and electra tokenizer to match kaggle changes by @mattdangerw in #1387
• Align requirments with Keras by @sampathweb in #1386
• Add a preprocessor for the Mistral backbone by @tirthasheshpatel in #1385
• Switch to always expect full Kaggle preset handles by @mattdangerw in #1390
• Version bump for dev release by @mattdangerw in #1391
• Version bump for final release by @mattdangerw in #1392

New Contributors

• @haifeng-jin made their first contribution in #618
• @mbrukman made their first contribution in #628
• @soma2000-lang made their first contribution in #665
• @NusretOzates made their first contribution in #664
• @shivance made their first contribution in #673
• @Plutone11011 made their first contribution in #714
• @TheAthleticCoder made their first contribution in #731
• @Neeshamraghav012 made their first contribution in #734
• @apupneja made their first contribution in #751
• @Cyber-Machine made their first contribution in #690
• @atharvapurdue made their first contribution in #781
• @susnato made their first contribution in #771
• @jaygala223 made their first contribution in #805
• @abodinier made their first contribution in #790
• @Akorex made their first contribution in #853
• @Warlord-K made their first contribution in #893
• @Sruinard made their first contribution in #871
• @SamuelMarks made their first contribution in #1057
• @ferraric made their first contribution in #1083
• @ianstenbit made their first contribution in #1160
• @jackd made their first contribution in #1240
• @sahusiddharth made their first contribution in #1245
• @calvingiles made their first contribution in #1262
• @mbrhd made their first contribution in #1364

Full Changelog: v0.4.0...v0.17.0.dev0