- (1) Collect some famous opensource projects of AI: adding them as submodules of git into 'resources' folder
- (2) Try to refactor some projects or add some comments or do some experiments for learning them deeply: adding my codes in 'content' folder
- 2020-3: Refactoring and more comments on ELECTRA to make it more readable, on 'content/Easy-ELECTRA' ELECTRA is a new method for self-supervised language representation learning. It can be used to pre-train transformer networks using relatively little compute. ELECTRA models are trained to distinguish "real" input tokens vs "fake" input tokens generated by another neural network, similar to the discriminator of a GAN. At small scale, ELECTRA achieves strong results even when trained on a single GPU. At large scale, ELECTRA achieves state-of-the-art results on the SQuAD 2.0 dataset. For a detailed description and experimental results, please refer to our paper ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.