#
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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Mar 14, 2021 - 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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May 18, 2021 - Python
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
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May 12, 2021 - 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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Apr 26, 2021 - Java
wjsi
commented
Dec 25, 2020
Implements {DataFrame,Series}.empty
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
mxnet
tensorflow
numpy
pytorch
decomposition
tensor-factorization
tensor
tensor-algebra
tensorly
tensor-learning
tensor-decomposition
cupy
tensor-regressions
tensor-methods
jax
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May 17, 2021 - Python
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
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May 17, 2021 - 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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Apr 17, 2021 - Nim
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
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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Mar 12, 2021 - MATLAB
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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May 10, 2021
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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May 7, 2021 - C++
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May 17, 2021 - Python
RFC for common in-memory tensor structure and operator interface for deep learning system
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May 17, 2021 - C++
DiffSharp: Differentiable Functional Programming
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Apr 25, 2021 - F#
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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Feb 17, 2021 - C++
OCaml bindings for PyTorch
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Mar 16, 2021 - OCaml
⟨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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May 2, 2021 - Julia
Tensors and differentiable operations (like TensorFlow) in Rust
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Apr 16, 2021 - Rust
Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
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Sep 9, 2020 - Jupyter Notebook
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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Feb 16, 2021 - C++
Python bindings for xtensor
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Apr 13, 2021 - C++
Experimental tensor-typed deep learning
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Sep 12, 2019 - Scala
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There are some common misuse patterns in TorchScript that we should issue clear error messages for instead of generating generic error that doesn't capture root cause of error.
Here are a few examples:
nn.Moduleinside TorchScript. This currently errors out because TorchScript would attempt to compile__init__()method of module, which usually contains a call