Additional training metrics integrated with the keras NN library.
MIT License
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Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/151...
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Implementation of a series of Neural Network architectures in TensorFow 2.0
Metric learning algorithms in Python
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less...
AutoML library for Accurat, based on AutoKeras and Scikit-Learn.
Extends scikit-learn with new models, transformers, metrics, plotting.
Python package to standardize the names of ML-related metrics, models and losses.
Layer-wise Adaptive Moments optimizer for Batch training
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Metrics for Keras. DEPRECATED since Keras 2.3.0
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch ten...