Barry Yao's repositories
coqa-bert-baselines
BERT baselines for extractive question answering on coqa (https://stanfordnlp.github.io/coqa/)
pytorch-spectral-normalization-gan
Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-
stylegan2-ada-pytorch
StyleGAN2-ADA - Official PyTorch implementation
BLINK
Entity Linker solution
GS-WGAN
Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
pre-trained-formality-transfer
Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer (ACL 2021)
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
SpotFakePlus
This repository contains code and dataset for the paper titled: SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning.
Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.