catalyster's repositories
deep-learning-papers-translation
深度学习论文翻译,包括分类论文,检测论文等
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digital-recognition
Digital recognition based on deep learning
Grad-CAM.pytorch
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
Language:PythonApache-2.0000
maxl
The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
Language:PythonMIT000
ml
machine learning
Language:Jupyter Notebook000
NN-CUDA-Example
Several simple examples for popular neural network toolkits calling custom CUDA operators.
Language:PythonApache-2.0000
prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Language:Jupyter Notebook000
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
Language:Python000