Merged pull requests:
- Distributed API #194 (cgarciae)
- Toy examples #193 (cgarciae)
- Fix examples #192 (cgarciae)
- Support Haiku #191 (cgarciae)
- Refactor Elegy using Treex #190 (cgarciae)
- (maint): update README.md #187 (vladdoster)
- New summary API #185 (cgarciae)
- Fix Embedding module #184 (cgarciae)
0.7.4 (2021-06-01)
Merged pull requests:
0.7.2 (2021-03-10)
Merged pull requests:
- release-0.7.2 #173 (cgarciae)
- DataLoader Timeout #172 (alexander-g)
- Saved Model support: implements Model.saved_model that enables the user to serialize pred_step as a SavedModel #171 (cgarciae)
0.7.1 (2021-03-01)
Merged pull requests:
- Make Transformers official #170 (cgarciae)
- More Docs: Expand documentation for the low-level API guides. #168 (cgarciae)
- Rich Summary: uses rich to style the summary console output #167 (cgarciae)
0.7.0 (2021-02-22)
Merged pull requests:
- Fix notebook #166 (cgarciae)
- Single Initialization: Removes the current progressive initialization in favor of a single underlying call to init_step. #165 (cgarciae)
0.6.0 (2021-02-14)
Merged pull requests:
- More Steps: adds additional *_step methods #163 (cgarciae)
- Better error message on elegy.States attribute access miss #162 (alexander-g)
- WGAN-GP low-level API example #157 (alexander-g)
- Improve Docs: adds more docs + an example using pmap to distribute trianing #156 (cgarciae)
0.5.0 (2021-02-08)
Merged pull requests:
- Improve States: uses __dict__ so States works with vars #159 (cgarciae)
- Simplify API: Cleans-up some API details around Model and Module #158 (cgarciae)
0.4.1 (2021-02-03)
Merged pull requests:
- fix-maybe-initialize #155 (cgarciae)
- Add simple Flax low-level API Model example to README.md #153 (sooheon)
0.4.0 (2021-02-01)
Merged pull requests:
- Update Getting Started + README #152 (cgarciae)
- Pretrained ResNet fix after #139 #151 (alexander-g)
- Dataset: better default batch_fn and custom batch_fn #148 (alexander-g)
- Label Smoothing for Binary Crossentropy #146 (alexander-g)
- Add adapter for handling torch dataloaders #145 (charlielito)
- Feature/tf dataset adapter #144 (charlielito)
- [*.md,*.py,*.sh] Fix typos #142 (SamuelMarks)
- verbose=4 #140 (alexander-g)
- Framework Agnostic API: Introduces a new low-level API, removes the dependency between Model and Module, adds support for Flax and Haiku, simplifies hooks. #139 (cgarciae)
- DataLoader Optimizations #137 (alexander-g)
- Autodownload pretrained ResNet #136 (alexander-g)
- Add learning rate logging #135 (cgarciae)
- Adds gitpod support to be able to develop elegy on the cloud #134 (cgarciae)
- Make Models Pickleable Again #133 (alexander-g)
- SCCE fix for bug in Jax<0.2.7 #130 (alexander-g)
- table progress #127 (alexander-g)
0.3.0 (2020-12-17)
Merged pull requests:
sparse\_categorical\_crossentropyshould check bounds #123 (alexander-g)- float sample_weight for precision/recall metrics #122 (alexander-g)
- Added Huber loss #121 (abhinavsp0730)
- ResNet Docs + CIFAR10 Example #119 (alexander-g)
- Dataset & DataLoader #118 (alexander-g)
- fix/docs #116 (cgarciae)
- Better save + load #114 (cgarciae)
- Examples Cleanup #113 (alexander-g)
- merge resnet into master #111 (cgarciae)
- Fix metrics error #110 (cgarciae)
- Fix colab notebook getting started #105 (charlielito)
- Added Cosine Similarity loss. #103 (abhinavsp0730)
- small change to trigger build #101 (charlielito)
- New metrics #100 (anvelezec)
- Update CONTRIBUTING.md #97 (haruiz)
- Enhance docs #96 (charlielito)
- Loss Mean Squared Logarithmic error. #95 (abhinavsp0730)
- Documentation improvements #94 (chjort)
- Module v3 #92 (cgarciae)
- Documentation fixes of module-system.md #91 (chjort)
- binary precision and recall metrics #86 (anvelezec)
0.2.2 (2020-08-31)
Merged pull requests:
0.2.1 (2020-08-25)
Merged pull requests:
0.2.0 (2020-08-17)
Merged pull requests:
0.1.5 (2020-07-28)
Merged pull requests:
- feature/improve-hooks #84 (cgarciae)
- feature/conv2d #83 (cgarciae)
- feature/rename-call #82 (cgarciae)
- feature/update-defered #81 (cgarciae)
- add coverage #80 (charlielito)
- Elegy hooks #79 (cgarciae)
- feature/clean-CI #78 (cgarciae)
- Update issue templates #77 (Davidnet)
- Create CONTRIBUTING.md #76 (Davidnet)
- feature/ci-2 #75 (cgarciae)
- Feature/tensorboard tf2 #73 (Davidnet)
- Mean Absolute Percentage Error Implementation #53 (Ciroye)
0.1.4 (2020-07-24)
Merged pull requests:
- feature/dropout-and-batchnorm #70 (cgarciae)
- fix/generator #69 (cgarciae)
- fix docstrings removing kerasspecific stuff #68 (charlielito)
- feature/fix-bce-metric-docs #67 (cgarciae)
- feature/document-metric #66 (cgarciae)
- feature/document-loss #64 (cgarciae)
- feature/document-on #63 (cgarciae)
- Implemented BinaryCrossentropy metric #57 (sebasarango1180)
0.1.3 (2020-07-23)
Implemented enhancements:
- Updated docs to allow eventual BibTeX citations for the project #55 (sebasarango1180)
Merged pull requests:
- Readme windows support #56 (anvelezec)
- [Feat]: Apply to get the new files that push containers to dockerhub. #52 (Davidnet)
- Feat 22: Binary Crossentropy Loss Implementation #51 (haruiz)
- Update modules-losses-metrics.md #48 (srcolinas)
- fix docs and move exmaples #45 (charlielito)
- add vae example #44 (charlielito)
- feature/guides #40 (cgarciae)
- Create LICENSE #39 (Davidnet)
- Feature/tensorboard callbacks #38 (Davidnet)
- Feature/loss_mae #36 (sebasarango1180)
- Feature/more callbacks #35 (Davidnet)
- Feature/checkpoints callback #32 (charlielito)
- remove tf specific doc strings #30 (charlielito)
- Feature/model docsv1 #27 (charlielito)
- feature/no-keras-losses-metrics-mode #25 (cgarciae)
- Feature/model predict #16 (charlielito)
- Feature/callbacks #14 (charlielito)
- feature/docs #10 (cgarciae)
- add list adapter and test #9 (charlielito)
- feature/handle-array-structures #8 (cgarciae)
- Feature/model fit #7 (charlielito)
- feature/metrics #6 (cgarciae)
- [Feat] Creating Container pipeline to do automated test. #1 (Davidnet)
* This Changelog was automatically generated by github_changelog_generator