Tensors and Dynamic neural networks in Python with strong GPU acceleration
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autograd
Repositories 16
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
Owl is an OCaml library for scientific and engineering computing.
matrix
linear-algebra
ndarray
statistical-functions
topic-modeling
regression
maths
gsl
plotting
sparse-linear-systems
scientific-computing
numerical-calculations
statistics
mcmc
optimization
autograd
algorithmic-differentation
automatic-differentiation
machine-learning
neural-network
OCaml
Updated Sep 23, 2018
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU, OpenCL and embedded dev…
Torch Containers simplified in PyTorch
Lua
Updated Apr 28, 2017
Deep-Learning framework from scratch
Python
Updated Jan 23, 2018
Tensors and differentiable operations in Rust
Rust
Updated Aug 10, 2018
Scorch is a neural net framework in Scala inspired by PyTorch
Scala
Updated Aug 17, 2018
Autograd (backpropagation, reverse-mode auto differentiation) in Nim
Nim
Updated Oct 25, 2017
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
Python
Updated Aug 28, 2018
A collection of tree data structures, Q-learning, and autograd, Work in Progress
Rust
Updated Sep 16, 2018
Source code for Deep Multigrid method
Jupyter Notebook
Updated May 1, 2018
my personal libraray for learning!
Python
Updated Jun 11, 2018
Autograd compatible Givens Transforms which is especially useful for optimization on a Stiefel Manifold.
Python
Updated Apr 3, 2018
Machine Learning models for large datasets
big-data
large-dataset
bigml
guinea-pig
lda
hadoop
autodiff
parameter-server
lda-gibbs-sampling
guineapig
sparse-sgd
autograd
document-classification
mapreduce
hadoop-mapreduce
Gnuplot
Updated Jan 19, 2018
a simple implementation of autograd engine
Jupyter Notebook
Updated Sep 22, 2018