C++ tensors with broadcasting and lazy computing
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Jul 21, 2021 - C++
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tensors
Here are 82 public repositories matching this topic...
prabhuomkar
commented
Sep 7, 2020
Issue to track tutorial requests:
- Deep Learning with PyTorch: A 60 Minute Blitz - #69
- Sentence Classification - #79
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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May 8, 2021 - C++
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
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Jun 27, 2021 - Python
A lightweight high performance tensor algebra framework for modern C++
fpga
hpc
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tensors
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tensor-views
small-blas
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Mar 19, 2021 - C++
A C++ library for efficient tensor network calculations
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Jul 10, 2021 - C++
ricardoV94
commented
Jul 23, 2021
A Julia library for efficient tensor computations and tensor network calculations
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Jul 23, 2021 - Julia
A python library for quantum information and many-body calculations including tensor networks.
python
physics
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peps
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dmrg
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mera
tebd
tensor-network
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Jul 21, 2021 - Python
Project which implements extraction of data from scatter plots
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Jun 21, 2019 - Jupyter Notebook
High-Performance Tensor Transpose library
high-performance-computing
tensor
tensors
transposition
multidimensional-arrays
tensor-transposition
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Jan 9, 2021 - 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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Feb 22, 2021 - 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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Jul 7, 2021 - 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
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datastructures
functional-programming
geometry
graphics
linear-algebra
matrices
persistent-data-structure
tensors
aardvark
attribute-grammars
aardvark-platform
incremental-evaluation
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Jun 28, 2021 - C#
A field-theory motivated approach to computer algebra.
cplusplus
computer-algebra
physics
mathematics
python3
tensors
symbolic-manipulation
computer-algebra-system
science-research
cadabra2
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Jul 24, 2021 - C
Scientific computing in pure Crystal
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Jul 12, 2021 - Crystal
Stretching GPU performance for GEMMs and tensor contractions.
python
machine-learning
amd
gpu
assembly
opencl
dnn
matrix-multiplication
neural-networks
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hip
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tensors
tensor-contraction
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radeon
auto-tuning
radeon-open-compute
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Jul 22, 2021 - Python
Markus-Goetz
commented
Mar 30, 2021
Feature functionality
Implement a function in io.py that allows a user to store the contents of a DNDarray in a CSV file.
Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN
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May 7, 2021 - Python
Matrix and Tensor Completion for Background Model Initialization
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Mar 12, 2021 - MATLAB
Many-dimensional type-safe numeric ops
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Apr 7, 2021 - Haskell
A simple C++17 wrapper for HDF5
cmake
filesystem-library
storage
eigen
hdf5
cpp17
tensors
spdlog
hdf
hdf5-library
binary-storage
eigen3
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Jul 4, 2021 - C++
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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May 2, 2021 - Julia
The only library allowing to create Tensors (matrices extension) with custom types
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Jul 15, 2021 - C#
An object-oriented general relativity package for Mathematica.
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Jun 13, 2021 - Mathematica
Deep learning for spiking neural networks
python
machine-learning
deep-learning
pytorch
spiking-neural-networks
tensors
neuromorphic-computing
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May 20, 2021 - Python
MATLAB Tensor Toolbox (by Tamara Kolda)
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Feb 8, 2017 - MATLAB
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
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We should be able to pass a dataset to a function called
train_test_splitand get back splits of training and testing data similar to the sklearn train_test_split function here..