roryshao's repositories
few_shot_learning
classical model code implementation of few-shot/one-shot lenaring, including siamese network, prototypical network, relation network, induction network
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
awesome-contrastive-self-supervised-learning
A comprehensive list of awesome contrastive self-supervised learning papers.
BigGAN-pytorch
Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)
cnn_car_classification
car classification based on cnn
Data-Efficient-Model-Compression
Data Efficient Model Compression
deep_learning_object_detection
A paper list of object detection using deep learning.
knowledge-graph
知识图谱-概念与技术
learning-nlp
nlp in action
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
MEAL
Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
roryshao.github.io
personal CV