1.0.5

Aditya NG (2):
      docs(README): citation
      release: version 1.0.5 🚀

1.0.4

Aditya NG (2):
      docs(README): total downloads badge
      release: version 1.0.4 🚀

1.0.3

Aditya NG (2):
      test(.coveragerc): excluded few files for now
      release: version 1.0.3 🚀

1.0.2

Aditya (3):
      Merge pull request #14 from TheMattBin/readme-update
      Merge pull request #15 from eltociear/patch-1
      Merge pull request #17 from KPCOFGS/main

Aditya NG (2):
      docs(README): absolute links
      release: version 1.0.2 🚀

Ikko Eltociear Ashimine (1):
      docs: Update README.md

Matthew Liu (1):
      Update README.md

Shixian Sheng (1):
      Update README.md

1.0.1

Aditya NG (4):
      docs(README.md): typo
      docs(README,docs/): badges
      test(kan): coverage improved
      release: version 1.0.1 🚀

1.0.0

Aditya (1):
      Merge pull request #11 from wektorz/fix_missing_dataset_dowload

Aditya NG (6):
      release: version 0.4.0 🚀
      feat(train.py): metrics added
      docs(README,media): results and metrics
      docs(mkdocs): results added
      version increment
      release: version 1.0.0 🚀

Wiktor Zdrojewski (1):
      Update KAN_GPT.ipynb

0.4.0

Aditya NG (13):
      feat(download_dataset): functions to download tinyshakespeare and webtext
      feat(sweep): reduced batch size
      fix(sweep): added cuda clean
      test(tests/test_train.py): disable wandb during testing
      ci(main): disabled wandb in ci
      fix(sweep): cuda device
      fix(sweep): max_iters
      feat(sweep): slower learning rate
      docs(mkdocs): documentation for mkdocs
      feat(README.md): results added
      fix(kan_gpt/efficient_kan/__init__.py): missing init file
      version increment
      release: version 0.4.0 🚀

0.3.0

Aditya NG (6):
      test(efficient_kan,original_kan): coverage
      test(tests/test_prompt.py): eval code
      feat(tinyshakespeare): support for another dataset
      feat(sweep): sweep script for getting a vast hyperparam sweep
      docs(README.md): dataset mention
      release: version 0.3.0 🚀

0.2.0

Aditya NG (7):
      fix(dataset): index error
      feat(kan_gpt/dataset.py): lengthwise dataset iteration
      feat(train,prompt): saving model after training, prompting a model given the saved model path
      feat(train): date id of asset
      docs(KAN_GPT.ipynb): benchmark runs between mlp and kan gpts
      version increment
      release: version 0.2.0 🚀

0.1.3

Aditya NG (2):
      fix(dataset): padding and range fix
      release: version 0.1.3 🚀