#
tensor
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PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
deep-learning
jupyter-notebook
nn
pytorch
autograd
caption
gan
image-classification
tensorboard
tensor
neural-style
visdom
pytorch-tutorials
pytorch-tutorials-cn
charrnn
neuraltalk
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Jul 13, 2020 - Jupyter Notebook
Open deep learning compiler stack for cpu, gpu and specialized accelerators
javascript
machine-learning
performance
deep-learning
metal
compiler
gpu
vulkan
opencl
tensor
spirv
rocm
tvm
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Oct 22, 2020 - Python
LibRec: A Leading Java Library for Recommender Systems, see
java
matrix
collaborative-filtering
matrix-factorization
systems
sparse
recommender
tensor-factorization
collaborative
tensor
factorization
filtering
recommender-systems
recommendation-algorithms
probabilistic-graphical-models
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Oct 22, 2020 - Java
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wjsi
commented
Jun 23, 2020
Support Series.median()
Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)
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Oct 21, 2020 - Python
50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
python
data-science
machine-learning
statistics
research
deep-learning
neural-network
gpu
optimization
scikit-learn
pytorch
econometrics
data-analysis
tensor
regression-models
statsmodels
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Sep 18, 2020 - Jupyter Notebook
TensorLy: Tensor Learning in Python.
python
machine-learning
decomposition
tensor
tensor-algebra
tensorly
tensor-learning
tensor-regressions
tensor-methods
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Oct 20, 2020 - Python
momohatt
commented
Oct 3, 2020
This page from the old manual doesn't have the counterpart in the new docs.
https://www.egison.org/getting-started/emacs.html
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
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Oct 21, 2020 - C++
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
iot
machine-learning
nim
deep-learning
opencl
linear-algebra
automatic-differentiation
openmp
parallel-computing
cuda
autograd
gpgpu
neural-networks
high-performance-computing
ndarray
tensor
gpu-computing
multidimensional-arrays
cudnn
matrix-library
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Sep 12, 2020 - Nim
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
matlab
matrix
matrix-factorization
tensor
lin
rpca
matrix-completion
tensor-decomposition
subspace-tracking
subspace-learning
zhou
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Apr 23, 2020 - MATLAB
RFC for common in-memory tensor structure and operator interface for deep learning system
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Oct 11, 2020 - C
NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.
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Sep 14, 2020 - C++
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Aug 19, 2020 - Python
DiffSharp: Differentiable Functional Programming
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Oct 21, 2020 - F#
OCaml bindings for PyTorch
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Sep 24, 2020 - OCaml
Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
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Sep 9, 2020 - Jupyter Notebook
⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex
topology
algebra
math
computer-algebra
linear-algebra
automatic-differentiation
quantum-computing
sparse
quaternion
complex-numbers
computational-geometry
differential-geometry
tensor
lie-groups
tensor-algebra
geometric-algebra
clifford-algebras
differentiable-programming
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Sep 17, 2020 - Julia
Experimental tensor-typed deep learning
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Sep 12, 2019 - Scala
Blitz++ Multi-Dimensional Array Library for C++
hpc
high-performance
vector
array
blitz
template-metaprogramming
numerical-calculations
scientific-computing
tensor
numerics
cpp-library
array-manipulations
partial-evaluators
numerical-computation
multi-dimensional-array
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Oct 13, 2020 - C++
vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers
python
arduino
machine-learning
performance
deep-neural-networks
deep-learning
microcontrollers
neural-network
compiler
raspberrypi
llvm
odroid
tensor
arm64
sparkfun-products
edge-devices
onnx
dnn-compiler
dnnc
inference-framework
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Oct 20, 2020 - C++
Julia package for tensor contractions and related operations
tensor
tensor-contraction
tensor-transposition
tensor-operations
tensor-permutation
tensor-trace
einstein-summation
index-notation
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Oct 19, 2020 - Julia
BryceBeagle
commented
Oct 10, 2018
Numpy has a way to rotate matrices by increments of 90 degrees using their rot90 method that uses transposes and flips.
There is a transpose method for Tensors, but no way of flipping the Tensor that I see.
Is there a way of properly rotating a Tensor/Dense currently, other than through manual iteration over the
Atry
commented
Mar 29, 2018
The Scaladoc should be similar to numpy's API reference
The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers
deep-learning
assembler
parallel
openmp
jit
simd
matrix-multiplication
high-performance-computing
blas
convolution
tensor
compiler-optimization
gemm
runtime-cpu-detection
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Nov 9, 2019 - Nim
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Hi, I've moved to Cuda 11.0 and I am getting warnings below while compiling. I just can't remember exactly, but I don't think I saw these with 10.2. I don't know if it related, but
run_test.pyis also failing when it comes to Distribution related tests. I can post test's log when the build is complete, if it is helpful. Thank you.