v0.4.12

Lux v0.4.12

Diff since v0.4.11

Closed issues:

• optimising parameters with Optimization.jl (#108)
• add OrdinaryDiffEq downstream test (#110)

Merged pull requests:

• fix state update in NeuralODE example (#107) (@gabrevaya)
• Deprecate elementwise_* and applyactivation (#113) (@avik-pal)
• Go through the dense bias deprecation (#114) (@avik-pal)

v0.4.11

Lux v0.4.11

Diff since v0.4.10

Closed issues:

• WeightNorm causes NaN for Conv layer gradients (#95)

Merged pull requests:

• [LuxTraining] Wrappers for less clunky training loops (#104) (@avik-pal)
• Fixes WeightNorm with zero Parameter bug (#106) (@avik-pal)

v0.4.10

Lux v0.4.10

Diff since v0.4.9

Closed issues:

• Lighter syntax for stateless networks? (#83)
• Scalar indexing problem for the NeuralODE example (#92)
• Basic example from Migrating from Flux to Lux is broken || normalization issue (#94)
• [Feature request] Another type of Chain that sequentially passing x and st (#96)
• RNN and LSTM break when using GPU (#100)
• Can one compose lux layers with graph neural network (#102)

Merged pull requests:

• CompatHelper: bump compat for FluxMPI to 0.6 for package examples, (keep existing compat) (#86) (@github-actions[bot])
• Update comparison section in overview.md (#88) (@ToucheSir)
• Fix typos (#89) (@claforte)
• Fix minor typos in the docs (#93) (@gabrevaya)
• making x Float32 in migrate from Flux example (#97) (@gabrevaya)
• add init_hidden_state function (#101) (@gabrevaya)
• JLArray is now registered (#103) (@MilkshakeForReal)
• Use OneHotArrays (#105) (@MilkshakeForReal)

v0.4.9

Lux v0.4.9

Diff since v0.4.8

Merged pull requests:

• Update rrules so that we can support Yota (#85) (@avik-pal)

v0.4.8

Lux v0.4.8

Diff since v0.4.7

Merged pull requests:

• More Testing + Deprecate Nonsensical Functions + Better Naming for Kwargs (#80) (@avik-pal)
• CompatHelper: add new compat entry for Optimisers at version 0.2, (keep existing compat) (#82) (@github-actions[bot])

v0.4.7

Lux v0.4.7

Diff since v0.4.6

Closed issues:

• Hope to add more examples (#25)
• Quickstart Example: using Optimisers, Zygote do not work unless we explicitly add those to current environment. (#75)

Merged pull requests:

• Try codecov for doctests (#70) (@avik-pal)
• Add tests for utility functions (#74) (@avik-pal)
• Add tip to install packages (#76) (@Karthik-d-k)

v0.4.6

Lux v0.4.6

Diff since v0.4.5

Closed issues:

• How do I extend Chain to have multiple inputs (#53)

Merged pull requests:

• Enable doctests in CI (#51) (@avik-pal)
• fix quickstart example (#52) (@visr)
• Test on 1.8 (#54) (@avik-pal)
• Separate out testing unreleased julia versions (#55) (@avik-pal)
• Cleaner and Better Documentation (#56) (@avik-pal)
• Bump Pkg Compats (#66) (@avik-pal)
• CompatHelper: bump compat for MLDatasets to 0.7 for package examples, (keep existing compat) (#67) (@github-actions[bot])
• Manual to translate Flux to Lux (#69) (@avik-pal)

v0.4.5

Lux v0.4.5

Diff since v0.4.4

Merged pull requests:

• Formatting updates and relax parameter type (#48) (@avik-pal)

v0.4.4

Lux v0.4.4

Diff since v0.4.3

Merged pull requests:

• CompatHelper: bump compat for ComponentArrays to 0.12, (keep existing compat) (#43) (@github-actions[bot])
• Update JET tests to allow julia v1.6 (#47) (@avik-pal)

v0.4.3

Lux v0.4.3

Diff since v0.4.2

Closed issues:

• PairwiseFusion takes more inputs than documented (#38)

Merged pull requests:

• Update README.md (#37) (@zsz00)
• Fix doc for PairwiseFusion (#39) (@theabhirath)
• Extending Scale to allow for multiple dimension inputs (#40) (@theabhirath)
• Fix Zygote error caused due to fill! (#41) (@theabhirath)