Explore live open-source projects and AI models.

Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For m... Read more

A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

Keras implementation of BERT with pre-trained weights

BLEURT is a metric for Natural Language Generation based on transfer learning.

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis, one of the first "foundation" models in medical image analysis for multiple downstream tasks

AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.