loss-functions topic
consistency
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
polyloss-pytorch
Polyloss Pytorch Implementation
GeDML
Generalized Deep Metric Learning.
GIouloss_CIouloss_caffe
Caffe version Generalized & Distance & Complete Iou loss Implementation for Faster RCNN/FPN bbox regression
pyxu
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
NCE-loss
Tensorflow NCE loss in Keras
-Online-Soft-Mining-and-Class-Aware-Attention-Pytorch
(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)
QuadricLoss
Learning Embedding of 3D models with Quadric Loss
introduction-to-machine-learning
A document covering machine learning basics. 🤖📊
rml-cnn
Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification