#
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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Dec 22, 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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Dec 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
Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)
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Nov 21, 2020 - Python
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wjsi
commented
Jun 23, 2020
Support Series.median()
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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Dec 22, 2020 - Python
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
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Dec 22, 2020 - C++
momohatt
commented
Aug 12, 2020
Tests for following standard libraries seem to be missing. Although some libraries might be difficult to test (such as random.egi or io.egi), it'd be nice to have some tests that make sure all the functions in these libraries can be (at least) executed without dynamic errors.
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lib/core/io.egi -
lib/core/random.egi -
lib/core/shell.egi -
lib/core/sort.egi - Every
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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Dec 22, 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
AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。
reinforcement-learning
deep-learning
tensorflow
optimization
pytorch
tengine
halide
tensor
auto
autosearch
tvm
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Dec 22, 2020 - C++
RFC for common in-memory tensor structure and operator interface for deep learning system
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Oct 11, 2020 - C
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Nov 4, 2020 - Python
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++
DiffSharp: Differentiable Functional Programming
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Dec 4, 2020 - F#
OCaml bindings for PyTorch
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Dec 15, 2020 - OCaml
Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
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Sep 9, 2020 - Jupyter Notebook
A lightweight, scalable, GPU-accelerated Computer Vision library for high-performance AI research.
python
opencv
data-science
machine-learning
ai
computer-vision
deep-learning
gpu
pypi
image-processing
data-visualization
pytorch
artificial-intelligence
video-processing
vision
tensor
hacktoberfest
data-augmentation
augmentation
caer
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Dec 18, 2020 - Python
⟨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
Python bindings for xtensor
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Nov 30, 2020 - C++
Experimental tensor-typed deep learning
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Sep 12, 2019 - Scala
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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Nov 4, 2020 - C++
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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Nov 13, 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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Dec 12, 2020 - Julia
A list of awesome compiler projects and papers for tensor computation and deep learning.
programming-language
machine-learning
deep-learning
compiler
high-performance-computing
code-generation
tensor
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Nov 30, 2020
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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.