v0.5.2

FastAI v0.5.2

Diff since v0.5.1

Merged pull requests:

• Remove extra type parameter (#282) (@cpfiffer)
• CompatHelper: bump compat for Flux to 0.14, (keep existing compat) (#283) (@github-actions[bot])

v0.5.1

FastAI v0.5.1

Diff since v0.5.0

Closed issues:

• Quickstart tutorial no longer works (loaddataset doesn't exist) (#254)
• loading datasets fails under proxy, but Base.download works (#271)
• Broken links on Readme page (#272)
• unresponsive docs (#277)

Merged pull requests:

• Add LICENSE files for subpackages and compat statements (#264) (@lorenzoh)
• CompatHelper: bump compat for MLUtils to 0.3, (keep existing compat) (#265) (@github-actions[bot])
• Fix typo in introduction.md (#266) (@natema)
• MLUtils 0.3 compat for subpackages (#268) (@lorenzoh)
• Fix broken README links (#273) (@lorenzoh)
• Bump Makie-related compat (#274) (@lorenzoh)
• Bump MLUtils compat to 0.4 (#276) (@lorenzoh)
• Bump version numbers to tag 0.5.1 (#279) (@lorenzoh)

v0.5.0

FastAI v0.5.0

Diff since v0.4.3

Closed issues:

• Move datasets to MLDatasets.jl (#22)
• MLUtils.jl transition (#196)
• Functions getcoltypes and gettransformdict are not exported properly (#210)
• Makie 0.17 support (#224)
• Keypoint regression example: The input graph contains at least one loop (#231)
• Log to TensorBoard link in TOC (#232)
• Log to TensorBoard link in TOC (#233)
• Docs aren't working correctly. (#237)
• Make a subpackage for Makie support (#241)

Merged pull requests:

• Update TagBot.yml (#226) (@lorenzoh)
• Improve onboarding experience (#227) (@lorenzoh)
• Switch LearnBase + MLDataPattern + DataLoaders -> MLUtils (#229) (@lorenzoh)
• Fix link to TensorBoard how-to (#234) (@lorenzoh)
• Add Time Series Block (#239) (@codeboy5)
• Move domain-specific functionality to subpackages (#240) (@lorenzoh)
• CompatHelper: bump compat for UnicodePlots to 3, (keep existing compat) (#244) (@github-actions[bot])
• Text classification task (#245) (@Chandu-4444)
• Use Adam instead of ADAM (#247) (@lorenzoh)
• CompatHelper: add new compat entry for TextAnalysis at version 0.7, (keep existing compat) (#249) (@github-actions[bot])
• Added Model for Time Series Classification (#253) (@codeboy5)
• InceptionTime Model for Time Series (#256) (@codeboy5)
• Fix the broken link in the README (#257) (@nathanaelbosch)
• CompatHelper: bump compat for PrettyTables to 2, (keep existing compat) (#260) (@github-actions[bot])
• Fix _segmentationloss for 3D images (#261) (@itan1)
• Update Pollen.jl documentation (#262) (@lorenzoh)
• Fix UNet for 3D convolutions (specify ndim to convxlayer and ResBlock) (#263) (@itan1)

v0.4.3

FastAI v0.4.3

Diff since v0.4.2

Closed issues:

• Register Everything (#206)

Merged pull requests:

• Add Container and Block for Text (#207) (@Chandu-4444)
• Feature registries (#208) (@lorenzoh)
• CompatHelper: add new compat entry for FeatureRegistries at version 0.1, (keep existing compat) (#225) (@github-actions[bot])

v0.4.2

FastAI v0.4.2

Diff since v0.4.1

Closed issues:

• Keypoint Regression example in documentation (#218)
• Documentation link broken for Custom Learning tasks (#220)

Merged pull requests:

• Keypoint regression example (#221) (@itan1)
• Update to new Pollen template (#222) (@lorenzoh)
• Add FluxTraining 0.3 compatibility (#223) (@lorenzoh)

v0.4.1

FastAI v0.4.1

Diff since v0.4.0

Closed issues:

• Support for non-supervised learning tasks (#165)
• LoadError in some pages of documentation. (#192)
• Drop DLPipelines.jl (#197)
• Update for Flux 0.13 (#201)
• Error in reproducing the "Data containers" tutorial: "key :nothing not found" (#209)
• Missing ProgressBars.jl import for Vision.imagedatasetstats (#214)
• Use JpegTurbo.jl to load .jpg images (#216)

Merged pull requests:

• Add Flux 0.13 compatibility (#202) (@lorenzoh)
• New documentation frontend (#203) (@lorenzoh)
• Pollen docs update part 2 (#213) (@lorenzoh)
• Ports over _predictx from DLPipelines.jl (#215) (@lorenzoh)
• Fix progress bar in imagedatasetstats (#217) (@lorenzoh)
• add ImageIO backend (#219) (@johnnychen94)

v0.4.0

FastAI v0.4.0

Diff since v0.3.0

Closed issues:

• N-dimensional CNN models (#137)
• Better visualization/interpretation API (#154)
• FastAI seems very slow compared to "vanilla" Flux (#187)

Merged pull requests:

• change julia compat to 1.6 (#175) (@EvoArt)
• Add support for 3D convolutional backbones (#181) (@lorenzoh)
• Move domain-specific functionality to submodules (#186) (@lorenzoh)
• Make block learning methods more modular (#188) (@lorenzoh)
• CompatHelper: bump compat for LearnBase to 0.6, (keep existing compat) (#189) (@github-actions[bot])
• Make UNet closer to fastai (#190) (@lorenzoh)
• CompatHelper: bump compat for CSV to 0.10, (keep existing compat) (#191) (@github-actions[bot])
• Add imdb_sample recipe (#193) (@Chandu-4444)
• Add food-101 recipe (#194) (@Chandu-4444)
• Any-length dimensions for Bounded (#195) (@lorenzoh)
• Removing DLPipelines.jl; Learning method -> Learning task (#198) (@lorenzoh)

v0.3.0

FastAI v0.3.0

Diff since v0.2.0

v0.3.0

Added

• A new API for visualizing data. See this issue for motivation. This includes:

  • High-level functions for visualizing data related to a learning method: showsample, showsamples, showencodedsample, showencodedsamples, showbatch, showprediction, showpredictions, showoutput, showoutputs, showoutputbatch
  • Support for multiple backends, including a new text-based show backend that you can use to visualize data in a non-graphical environment. This is also the default unless Makie is imported.
  • Functions for showing blocks directly: showblock, showblocks
  • Interfaces for extension: ShowBackend, showblock!, showblocks!

Removed

• The old visualization API incl. all its plot* methods: plotbatch, plotsample, plotsamples, plotpredictions

Closed issues:

• Visualization functions are not working (#184)

Merged pull requests:

• CompatHelper: bump compat for CSV to 0.9, (keep existing compat) (#168) (@github-actions[bot])
• New interpretation/Visualization API (#176) (@lorenzoh)
• CompatHelper: add new compat entry for InlineTest at version 0.2, (keep existing compat) (#177) (@github-actions[bot])
• CompatHelper: add new compat entry for ImageInTerminal at version 0.4, (keep existing compat) (#178) (@github-actions[bot])
• CompatHelper: add new compat entry for Requires at version 1, (keep existing compat) (#179) (@github-actions[bot])
• CompatHelper: add new compat entry for UnicodePlots at version 2, (keep existing compat) (#180) (@github-actions[bot])
• Make Only more generic (#182) (@lorenzoh)
• v0.3.0 (#185) (@lorenzoh)

v0.2.0

FastAI v0.2.0

Diff since v0.1.0

0.2.0

Added

• High-level API "FasterAI"
  • dataset recipes
  • learning method helpers
  • Find datasets and learning methods based on Blocks: finddatasets, findlearningmethods
  • loaddataset for quickly loading data containers from configured recipes
• Data container recipes (DatasetRecipe, loadrecipe)
• Documentation setions for FasterAI interfaces:
  • Discovery
  • Blocks and encodings
• New interfaces
  • blockbackbone creates a default backbone for an input block
• Support for tabular data along with recipes and learning methods:
  • Tabular classification tutorial
  • TabularPreprocessing, TableRow, TableDataset, TabularClassificiationSingle, TabularRegression

Changed

• Documentation sections to reference FasterAI interfaces:
  • README
  • Introduction
  • Data containers
  • Combined how-tos on training into a single page
• Breaking changes to methodlearner:
  • now accepts callbacks as kwarg
  • validdata no longer keyword
  • model and backbone now kwargs; isbackbone removed. if neither backbone or model are given, uses blockbackbone for default backbone.
  • see updated docstring for details

Closed issues:

• FasterAI: a roadmap to user-friendly, high-level interfaces (#148)
• Makie crashes precompilation (#156)
• Problem in ResNet50 backbone of "Image segmentation" example (#169)

Merged pull requests:

• Add tabular model (#124) (@manikyabard)
• Add tabular learning methods (#141) (@manikyabard)
• Fix Pkg usage in developing.md (#149) (@amqdn)
• Remove unused notebooks in docs (#150) (@amqdn)
• FasterAI (#151) (@lorenzoh)
• Fix WrapperBlock behavior and add Many (#158) (@lorenzoh)
• Documentation for FasterAI updates (#161) (@lorenzoh)
• CompatHelper: add new compat entry for "Setfield" at version "0.7" (#162) (@github-actions[bot])
• Adding some more dataset recipes (#163) (@lorenzoh)
• Breaking API changes to methodlearner (#164) (@lorenzoh)
• CompatHelper: bump compat for IndirectArrays to 1, (keep existing compat) (#166) (@github-actions[bot])
• update get_emb_sz method (#167) (@manikyabard)
• Better docstrings for data block functions (#170) (@lorenzoh)
• Setup step for encodings (#171) (@lorenzoh)
• CompatHelper: bump compat for Setfield to 0.8, (keep existing compat) (#172) (@github-actions[bot])
• Fix #169 by constructing pretrained backbone correctly (#173) (@lorenzoh)
• Release v0.2.0 (#174) (@lorenzoh)

v0.1.0

FastAI v0.1.0

Closed issues:

• First pass at datasets and data loaders (#1)
• Thank you! (#7)
• MIT vs Apache license (#8)
• Some maintenance and housekeeping things (#9)
• Contributions? (#15)
• Tutorial errors out (#19)
• Add TableDataset (#23)
• Learning Method: Single-label image classification (#25)
• Learning method: Image segmentation (#29)
• Learning Method: Keypoint Regression (#30)
• Use case: Siamese networks for image similarity (#31)
• Improve projective data augmentation (#32)
• Learning Method: Multi-label image classification (#33)
• Weight decay option in fitonecycle! (#34)
• Discriminative learning rates (#35)
• Augmentor.jl (#68)
• Data Block API (#135)
• Malformed FluxTraining compat requirement in Project.toml (#138)
• Two FluxTraining entry in Project.toml (#139)

Merged pull requests:

• CompatHelper: add new compat entry for "Revise" at version "2.7" (#2) (@github-actions[bot])
• CompatHelper: add new compat entry for "StatsBase" at version "0.33" (#3) (@github-actions[bot])
• CompatHelper: add new compat entry for "Infiltrator" at version "0.3" (#4) (@github-actions[bot])
• CompatHelper: add new compat entry for "Flux" at version "0.11" (#5) (@github-actions[bot])
• CompatHelper: add new compat entry for "Zygote" at version "0.5" (#6) (@github-actions[bot])
• Simplied Recorder and Metric (#10) (@opus111)
• Use DocStringExtensions to remove manual types and signatures (#11) (@ToucheSir)
• New README for FastAI (#14) (@opus111)
• FastAI.jl revamp (#17) (@lorenzoh)
• update docs deps (#18) (@lorenzoh)
• Fix the Quickstart tutorial and make the docs refer to this repo instead of a fork (#20) (@dave7895)
• added TableDataset (#26) (@manikyabard)
• tutorial errors: changed {load->get}classesclassification (#58) (@samuelzxu)
• move docs to Pollen (#60) (@lorenzoh)
• Lo/fix test (#66) (@lorenzoh)
• Better vision augmentations (#67) (@lorenzoh)
• CompatHelper: bump compat for "LearnBase" to "0.4" (#113) (@github-actions[bot])
• CompatHelper: bump compat for "MosaicViews" to "0.3" (#115) (@github-actions[bot])
• Move to DataAugmentation v0.2.0 (#116) (@lorenzoh)
• Small fixes (#117) (@lorenzoh)
• WIP: Ongoing development (#118) (@lorenzoh)
• Develop (#119) (@lorenzoh)
• CompatHelper: add new compat entry for "ShowCases" at version "0.1" (#120) (@github-actions[bot])
• CompatHelper: add new compat entry for "JLD2" at version "0.4" (#121) (@github-actions[bot])
• Replace AbstractPlotting.jl with Makie.jl (#122) (@lorenzoh)
• CompatHelper: add new compat entry for "Makie" at version "0.13" (#123) (@github-actions[bot])
• CompatHelper: bump compat for "Makie" to "0.14" (#125) (@github-actions[bot])
• Docs: how-to for logging (#126) (@lorenzoh)
• Docs: tutorial on dataset presizing (#127) (@lorenzoh)
• CompatHelper: add new compat entry for "CSV" at version "0.8" (#128) (@github-actions[bot])
• CompatHelper: add new compat entry for "DataFrames" at version "1" (#129) (@github-actions[bot])
• Update keypoint regression tutorial to include custom learning method and plotting functions. (#130) (@lorenzoh)
• Remove all reference to LearningTask. (#131) (@lorenzoh)
• Update to FluxTraining.jl v0.2.0 interfaces (#134) (@lorenzoh)
• Data block API (#136) (@lorenzoh)
• Get ready for release of 0.1.0 (#145) (@lorenzoh)