Tony Yang's repositories
robust-ood-detection
Robust Out-of-distribution Detection in Neural Networks
conference_call_for_paper
2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
Confident_classifier
Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
deeplearning.ai-GANs-Specialization
A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera
hands-on-ml-zh
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】
NLNL-Negative-Learning-for-Noisy-Labels
NLNL: Negative Learning for Noisy Labels
NLP-Specialization
NLP Specialization (Natural Language Processing) made by deeplearning.ai
odin
A simple and effective method for detecting out-of-distribution images in neural networks.
one-pixel-attack-keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
outlier-exposure
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
PythonSpiderNotes
Python入门网络爬虫之精华版
Siamese-Pytorch
Implementing Siamese networks with a contrastive loss for similarity learning
TrustScore
To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).