Sequence models implementation in Tensorflow.
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Updated
Jan 18, 2018 - Python
Sequence models implementation in Tensorflow.
Snippets for tensors and all funny things related to their use with PyTorch reside here.
Playing with PyTorch
#AI Tensorflow, Machine Learning and Building a data model to recognize object detection with Keras back-end. This a research work. This library is designed for everyone to learn fast.
Combine PyTorch tensors into a single structure.
Implementation of algorithms in "Orthogonal Decomposition of Tensor Trains" (Halaseh, Muller, Robeva)
Neural Network library made with numpy
Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN
Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]
Calculation of the trajectory of a spinning particle around a black hole with an arbitrary metric tensor.
Tiny, pure-python implementation of pytorch
Random Forest of Tensors (RFoT) is a tensor decomposition based ensemble semi-supervised classifier.
Deep learning for spiking neural networks
Sketching algorithms for Tensor Train decompositions
Easy visualization and evaluation of matrix and tensor factorization models
A lightweight and modular toolset to perform HOTRG simulations.
AugStatic - A Light-Weight Image Augmentation Library
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
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