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Oct 1, 2020 - C++
#
tensors
Here are 67 public repositories matching this topic...
C++ tensors with broadcasting and lazy computing
prabhuomkar
commented
Sep 7, 2020
A polyhedral compiler for expressing fast and portable data parallel algorithms
machine-learning
library
deep-neural-networks
compiler
optimization
linear-algebra
code-generation
tensors
tensor-algebra
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Sep 29, 2020 - Jupyter Notebook
A C++ library for efficient tensor network calculations
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Sep 2, 2020 - C++
A light-weight high performance tensor algebra framework for modern C++
hpc
gcc
simd
complexity
tensors
multidimensional-arrays
tensor-contraction
equivalent
tensor-product
performance-tensor
order-tensors
cross-product
algebra-framework
multi-dimensional-arrays
tensor-views
small-blas
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Sep 13, 2020 - C++
Project which implements extraction of data from scatter plots
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Jun 21, 2019 - Jupyter Notebook
kshyatt
commented
Aug 1, 2019
Would be nice to be able to do something like
M = MPS(10)
M[1] = a_tensor
M[2:5] = my_tensors
M[6:10] = your_tensors
A python library for quantum information and many-body calculations including tensor networks.
python
physics
quantum
python3
quantum-computing
dmrg
tensors
entanglement
tensor-networks
mera
tebd
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Oct 1, 2020 - Python
High-Performance Tensor Transpose library
high-performance-computing
tensor
tensors
transposition
multidimensional-arrays
tensor-transposition
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Aug 18, 2020 - C++
Tensor Network Learning with PyTorch
learning
data-science
pytorch
tensors
tensor-decomposition
cp-decomposition
tensor-networks
tensor-train
tucker-decomposition
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Sep 26, 2020 - Python
C++ multidimensional arrays in the spirit of the STL
performance
cpp
cpp14
template-metaprogramming
header-only
stl-containers
tensors
multidimensional-arrays
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Sep 25, 2020 - C++
Aardvark is an open-source platform for visual computing, real-time graphics and visualization. This repository is the basis for most platform libraries and provides basic functionality such as data-structures, math and much more.
math
fsharp
datastructures
functional-programming
geometry
graphics
linear-algebra
matrices
persistent-data-structure
tensors
aardvark
attribute-grammars
aardvark-platform
incremental-evaluation
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Oct 1, 2020 - C#
A field-theory motivated approach to computer algebra.
cplusplus
computer-algebra
physics
mathematics
python3
tensors
symbolic-manipulation
science-research
cadabra2
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Oct 1, 2020 - C
Stretching GPU performance for GEMMs and tensor contractions.
python
machine-learning
amd
gpu
assembly
opencl
dnn
matrix-multiplication
neural-networks
gpu-acceleration
blas
hip
gpu-computing
tensors
tensor-contraction
gemm
radeon
auto-tuning
radeon-open-compute
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Oct 1, 2020 - Python
Scientific computing in pure Crystal
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Sep 29, 2020 - Crystal
Matrix and Tensor Completion for Background Model Initialization
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Feb 9, 2017 - MATLAB
Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN
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May 19, 2020 - Python
ClaudiaComito
commented
Jun 7, 2020
Feature functionality
equivalent to ndarray.nbytes for numpy, returns size of tensor.
gnbytes and lnbytes would probably be useful as well.
Additional context
Current fix:
itemsize = self._DNDarray__array.storage().element_size()
nbytes = self.size * itemsize
?
Tangent bundle / vector space category and functors
math
linear-algebra
category-theory
differential-geometry
tensors
type-system
manifold
tensor-algebra
abstract-algebra
manifolds
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Sep 12, 2020 - Julia
Many-dimensional type-safe numeric ops
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Jul 26, 2020 - Haskell
The only library allowing to create Tensors (matrices extension) with custom types
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Sep 1, 2020 - C#
A simple C++17 wrapper for HDF5
cmake
filesystem-library
storage
eigen
hdf5
cpp17
tensors
spdlog
hdf
hdf5-library
binary-storage
eigen3
hdf5-wrapper
hdf5-files
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Sep 27, 2020 - C++
MATLAB Tensor Toolbox (by Tamara Kolda)
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Feb 8, 2017 - MATLAB
The SimNets Architecture's Implementation in Caffe
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Nov 23, 2016 - C++
Deep learning for spiking neural networks
python
machine-learning
deep-learning
pytorch
spiking-neural-networks
tensors
neuromorphic-computing
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Jul 20, 2020 - Python
Implementation of learning a Gaussian mixture model using tensor decomposition.
machine-learning
gaussian-mixture-models
tensors
tensor-decomposition
power-method
method-of-moments
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May 29, 2017 - Jupyter Notebook
The core library of Tensorics - a Java Library for Manipulating Multi-Dimensional Data with Pleasure
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Sep 22, 2020 - Java
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A Tensorflow based function to calculate Corr for series and columns, similar to Pandas Corr function.