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data_downloader
data_downloader
 
 
depreceated
depreceated
 
 
models
models
 
 
tmp/crosslm
tmp/crosslm
 
 
tokenizer
tokenizer
 
 
tokenizer_dir/crosslm
tokenizer_dir/crosslm
 
 
utils
utils
 
 
.gitignore
.gitignore
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
jc_dae_bart.sh
jc_dae_bart.sh
 
 
jc_mlm_bart.sh
jc_mlm_bart.sh
 
 
jc_mlm_cross_bart.py
jc_mlm_cross_bart.py
 
 
jc_tpu_bt.sh
jc_tpu_bt.sh
 
 
run_train_back_translation.sh
run_train_back_translation.sh
 
 
run_train_bart.sh
run_train_bart.sh
 
 
run_train_dae_bart.sh
run_train_dae_bart.sh
 
 
run_train_jax_crosslm.sh
run_train_jax_crosslm.sh
 
 
train_bt_tpu.py
train_bt_tpu.py
 
 
train_bt_tpu.sh
train_bt_tpu.sh
 
 
train_dae_bart.py
train_dae_bart.py
 
 
train_jax_cross_bart.py
train_jax_cross_bart.py
 
 
train_tokenizer_crosslm.py
train_tokenizer_crosslm.py
 
 
train_unsup_bt_bart.py
train_unsup_bt_bart.py
 
 

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hf_jax_transcoder_mini

  • A Minimal version of Transcoder built with Jax/Flax.
  • For easeness built only between two languages.

Description:

The Goal of this project is to train an Unsupervised Code-Code Translation Model. There are a lot of different approaches which model Supervised Code-Code Translation with parallel corpora. There is this particular paper,tried to build a Code-Code Translation with no parallel corpora, between languages. Transcoder

Reference

Based on Transcoder by Facebook AI Research

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A Minimal version of Transcoder built with Jax

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MIT license
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