v2.3.0

InvertibleNetworks v2.3.0

Diff since v2.2.9

Merged pull requests:

• Fix odd chan for cond network (#112) (@rafaelorozco)
• minor changes in JOSS paper (#113) (@danielskatz)

v2.2.9

InvertibleNetworks v2.2.9

Diff since v2.2.8

Merged pull requests:

• Minor changes in paper.md and fix Julia ref (#105) (@aurorarossi)
• Add minor changes to paper.md (#108) (@Nando-Hegemann)
• add memory benchmarks (#109) (@rafaelorozco)
• Cosmetic change readme (#110) (@rafaelorozco)
• Make minor readability suggestions (#111) (@drvinceknight)

Closed issues:

• Conditionally load heavy dependencies (#35)
• Wavelet squeeze is not GPU friendly (#52)
• Adding support + examples for FCN based INNs (#76)
• Improve visibility of contribution guidelines (#106)

v2.2.8

InvertibleNetworks v2.2.8

Diff since v2.2.7

Merged pull requests:

• change vers and add cudnn dep (#107) (@rafaelorozco)

Closed issues:

• Error running conditional glow example on GPUs (#102)

v2.2.7

InvertibleNetworks v2.2.7

Diff since v2.2.6

Merged pull requests:

• Get tests passing in Julia 10 (#103) (@rafaelorozco)

Closed issues:

• HINT layer input must be power of 2 in size? (#46)

v2.2.6

InvertibleNetworks v2.2.6

Diff since v2.2.5

Merged pull requests:

• Dense glow network (#77) (@rafaelorozco)
• Summ net (#82) (@rafaelorozco)
• add posterior inference gaussian mu std example (#84) (@rafaelorozco)
• CompatHelper: bump compat for Wavelets to 0.10, (keep existing compat) (#90) (@github-actions[bot])
• add logdet option to glow and example of training with flux (#92) (@rafaelorozco)
• small spelling, add examples (#96) (@rafaelorozco)
• changes to docs to avoid runner crash (#97) (@rafaelorozco)
• change doc fig path for display (#98) (@rafaelorozco)
• add manual path to imgs (#99) (@rafaelorozco)
• bump version (#100) (@rafaelorozco)
• bump version correct (#101) (@rafaelorozco)

Closed issues:

• NetworkGlow has no field logdet (#80)
• Optional logdet in NetworkGlow (#81)

v2.2.5

InvertibleNetworks v2.2.5

Diff since v2.2.4

Closed issues:

• Flux friendlyness (#78)

Merged pull requests:

• conditional glow 3d w test and example (#66) (@rafaelorozco)
• fix Flux compat (#79) (@mloubout)

v2.2.4

InvertibleNetworks v2.2.4

Diff since v2.2.3

Closed issues:

• Issues with forward evaluation of conv1x1 on GPU with CUDA 4 (#73)
• rrule error when ActNorm is nested with other network (#74)

Merged pull requests:

• Mix type rr (#75) (@mloubout)

v2.2.3

InvertibleNetworks v2.2.3

Diff since v2.2.2

Closed issues:

• ridiculously long training times for GLOW on gpu (#72)

Merged pull requests:

• CompatHelper: bump compat for CUDA to 4, (keep existing compat) (#71) (@github-actions[bot])

v2.2.2

InvertibleNetworks v2.2.2

Diff since v2.2.1

v2.2.1

InvertibleNetworks v2.2.1

Diff since v2.2.0

Merged pull requests:

• Add the latest paper to README.md. (#63) (@alisiahkoohi)
• Update runtests.yml (#67) (@rafaelorozco)
• add activation parameter to conditional multiscale hint (#68) (@rafaelorozco)