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)