Toolbox of models, callbacks, and datasets for AI/ML researchers.
updated at May 22, 2024, 9:21 p.m.
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
updated at May 23, 2024, 2:05 a.m.
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
updated at May 23, 2024, 1:36 p.m.
Fast, flexible and easy to use probabilistic modelling in Python.
updated at May 23, 2024, 3:11 p.m.
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
updated at May 23, 2024, 3:35 p.m.
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
updated at May 23, 2024, 4:16 p.m.
PyTorch implementation of neural style transfer algorithm
updated at May 23, 2024, 4:18 p.m.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
updated at May 23, 2024, 4:19 p.m.
An intuitive library to add plotting functionality to scikit-learn objects.
updated at May 23, 2024, 8:36 p.m.
Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
updated at May 24, 2024, 12:06 a.m.
StellarGraph - Machine Learning on Graphs
updated at May 24, 2024, 2:25 a.m.