Image augmentation library in Python for machine learning.
- augmentation
- machine-learning
- deep-learning
- neural-networks
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Image augmentation library in Python for machine learning.
A unified, comprehensive and efficient recommendation library
Scalable and user friendly neural :brain: forecasting algorithms.
Lightweight library to build and train neural networks in Theano
A best practice for tensorflow project template architecture.
StellarGraph - Machine Learning on Graphs
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Deep neural network to extract intelligent information from invoice documents.
Message Passing Neural Networks for Molecule Property Prediction
Graph Neural Networks with Keras and Tensorflow 2.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Distributed Deep learning with Keras & Spark
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Library for Fast and Flexible Human Pose Estimation
Brian is a free, open source simulator for spiking neural networks.
An autoML framework & toolkit for machine learning on graphs.
PyTorch to Keras model convertor
Python package for graph neural networks in chemistry and biology
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
CNN visualization tool in TensorFlow
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
QKeras: a quantization deep learning library for Tensorflow Keras