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STYLIANOS IORDANIS's Projects

tensornets icon tensornets

High level network definitions with pre-trained weights in TensorFlow

tensornetwork icon tensornetwork

A TensorFlow library for easy and efficient manipulation of tensor networks.

tensornvme icon tensornvme

A Python library transfers PyTorch tensors between CPU and NVMe

tensorpack icon tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

tensorrec icon tensorrec

A TensorFlow recommendation algorithm and framework in Python.

tensorrt icon tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

tensors.jl icon tensors.jl

Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.

tensorsharp icon tensorsharp

N-D array library for .NET with CPU and CUDA backends

tensorspace icon tensorspace

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

tensorstore icon tensorstore

Library for reading and writing large multi-dimensional arrays.

tensortoolbox.jl icon tensortoolbox.jl

Julia package for working with tensors, i.e. multilinear maps between vector spaces

tensortrade icon tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

tensorvox icon tensorvox

Desktop application for neural speech synthesis written in C++

tensorwatch icon tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

tequila icon tequila

Rapid development of novel quantum algorithms

termgraph icon termgraph

a python command-line tool which draws basic graphs in the terminal

terminal icon terminal

The new Windows Terminal, and the original Windows console host -- all in the same place!

termlog icon termlog

A Go library for logging to interactive terminals

termshark icon termshark

A terminal UI for tshark, inspired by Wireshark

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