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Commits on Feb 14, 2023

• Option to use dynamically allocated memory for Conv1D layer state (jatinchowdhury18#87)

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  jatinchowdhury18

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  c521243

Commits on Feb 3, 2023

• Fix TF model saving and loading for models with plain activation layers (jatinchowdhury18#86)

  jatinchowdhury18

  authored
  e2ec8ea

Commits on Jan 27, 2023

• Add BatchNorm1D implementation (jatinchowdhury18#83)

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  github-actions[bot]

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  94d63f4

Commits on Jan 23, 2023

• Add PReLU layer for all backends (jatinchowdhury18#82)

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  6f1b052

Commits on Jan 15, 2023

• Update xsimd for Android support. (jatinchowdhury18#81)

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  atsushieno

  and

  jatinchowdhury18

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  d1a1daa

Commits on Dec 21, 2022

• XSIMD: add specialization for Conv1D layer with dilation rate = 1 (jatinchowdhury18#78)

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  jatinchowdhury18

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  github-actions[bot]

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  063810e

Commits on Dec 20, 2022

• Conv1D: update XSIMD and STL implementations to use strategy from the Eigen implementation (jatinchowdhury18#77)

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  jatinchowdhury18

  authored
  8b00242

Commits on Nov 28, 2022

• Update README [ci skip]

  jatinchowdhury18

  authored
  3755e90

Commits on Nov 22, 2022

• Model Loading: use .at() instead of operator[] where appropriate (jatinchowdhury18#76)

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  jatinchowdhury18

  authored
  74d813d

Commits on Nov 3, 2022

• Improve Conv1D layers (Eigen backend) (jatinchowdhury18#74)

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  stepanmk

  authored
  dcf7744

Commits on Oct 14, 2022

• Update README [ci skip]

  jatinchowdhury18

  authored
  c9cbb3e

Commits on Oct 6, 2022

• README: move up citation section

  jatinchowdhury18

  authored
  43834b9

Commits on Sep 16, 2022

• Update xsimd (jatinchowdhury18#71)

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  jatinchowdhury18

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  0ec5023

Commits on Aug 6, 2022

• Update nlohmann::json to version 3.11.1 (jatinchowdhury18#69)

  jatinchowdhury18

  authored
  0888e5a

Commits on Jul 29, 2022

• Fix extra inner loops in dense_xsimd for small input size (jatinchowdhury18#68)

  jatinchowdhury18

  authored
  0ffc489

Commits on Jul 15, 2022

• Minor improvements for softmax and elu activation functions (jatinchowdhury18#67)

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  5cc72d1

Commits on Jul 6, 2022

• Mark functions as noexcept where appropriate (jatinchowdhury18#66)

  jatinchowdhury18

  authored
  b59d400

Commits on Jun 29, 2022

• Add logo

  jatinchowdhury18

  committed
  a32024b

Commits on Jun 18, 2022

• Adding sample-rate correction options to templated recurrent layers (jatinchowdhury18#65)

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  97fcead

Commits on May 24, 2022

• Improvements to model_utils script

  jatinchowdhury18

  committed
  6dcecab

Commits on Apr 28, 2022

• Performance optimizations for XSIMD layers (jatinchowdhury18#64)

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  ef0789c

Commits on Apr 21, 2022

• Be more explicit about which SIMD instruction sets to compile with (jatinchowdhury18#61)

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  jatinchowdhury18

  authored
  885256f

Commits on Apr 20, 2022

• Use AVX instead ofr AVX2 (jatinchowdhury18#60)

  jatinchowdhury18

  authored
  bd79868

Commits on Apr 16, 2022

• Add example for models with custom layers (jatinchowdhury18#59)

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  jatinchowdhury18

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  authored
  6b8ca48

Commits on Apr 6, 2022

• Add ELu activation layer (jatinchowdhury18#58)

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  jatinchowdhury18

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  github-actions[bot]

  authored
  e85e7c4

Commits on Apr 4, 2022

• Update README [ci skip]

  jatinchowdhury18

  authored
  02fc61d

Commits on Apr 2, 2022

• Smarter enforcement of C++ standard, interfacing include directory (jatinchowdhury18#57)

  jatinchowdhury18

  authored
  ee08dfc

Commits on Mar 30, 2022

• Use Eigen::Map for activation layer outputs (jatinchowdhury18#56)

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  authored
  f5d3b69

Commits on Mar 29, 2022

• Fix xsimd include order

  jatinchowdhury18

  committed
  2b6aa10

• Update XSIMD submodule to version 8.0.5 (jatinchowdhury18#54)

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Commits on Mar 19, 2022

• Add example Makefile and documentation for building without CMake (jatinchowdhury18#52)

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Commits on Feb 26, 2022

• Benchmarks: add 24x1 LSTM and 1x24 dense (jatinchowdhury18#51)

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  jatinchowdhury18

  authored
  17c18cb

Commits on Feb 16, 2022

• Fix issue with XSIMD needing C++ limits header (jatinchowdhury18#49)

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  jatinchowdhury18

  authored
  3c9ee67

• Add faster LSTM layer with the Eigen backend (jatinchowdhury18#45)

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  authored
  55233e8

Commits on Jan 19, 2022

• Fix 32-byte alignment for Eigen backend (jatinchowdhury18#42)

  jatinchowdhury18

  authored
  7e4bc0c

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