#
autograd
Here are 62 public repositories matching this topic...
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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Updated
Jul 13, 2020 - Jupyter Notebook
A C++ standalone library for machine learning
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Updated
Jul 17, 2020 - C++
An Engine-Agnostic Deep Learning Framework in Java
java
machine-learning
deep-neural-networks
ai
deep-learning
neural-network
mxnet
tensorflow
ml
pytorch
autograd
fasttext
onnxruntime
djl
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Updated
Jul 17, 2020 - Java
Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz
machine-learning
statistics
neural-network
optimization
matrix
linear-algebra
automatic-differentiation
regression
autograd
numerical-calculations
scientific-computing
topic-modeling
ndarray
plotting
gsl
maths
sparse-linear-systems
statistical-functions
mcmc
algorithmic-differentation
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Updated
Jul 15, 2020 - OCaml
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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Jul 10, 2020 - Nim
C++ Implementation of PyTorch Tutorial for Everyone
machine-learning
tutorial
cplusplus
neural-network
torch
pytorch
autograd
artificial-intelligence
generative-adversarial-network
tensors
language-model
convolutional-neural-network
recurrent-neural-network
libtorch
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Jul 9, 2020 - C++
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
data-science
machine-learning
deep-learning
neural-network
numpy
slides
machine-learning-algorithms
jupyter-notebook
autograd
artificial-intelligence
lecture-notes
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Jul 6, 2020 - Python
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
machine-learning
deep-learning
neural-network
tensorflow
optimization
quantum
differentiable-computing
forest
automatic-differentiation
pytorch
autograd
quantum-computing
quantum-chemistry
quantum-machine-learning
qiskit
qsharp
cirq
strawberryfields
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Updated
Jul 17, 2020 - Python
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
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Updated
Jul 9, 2020 - Python
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
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Jul 16, 2020 - Python
Image registration laboratory for 2D and 3D image data
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Updated
Mar 23, 2020 - Python
Julia port of the Python autograd package.
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May 20, 2020 - Julia
Tensors and differentiable operations (like TensorFlow) in Rust
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Updated
Apr 18, 2020 - Rust
Tiny and elegant deep learning library
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Updated
Jul 1, 2019 - Python
Deep learning with spiking neural networks (SNNs) in PyTorch.
machine-learning
deep-learning
neural-network
gpu
pytorch
autograd
spiking-neural-networks
tensor
neuromorphic
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Updated
Jul 15, 2020 - Python
scorch is a deep learning framework in Scala inspired by PyTorch
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Updated
Apr 19, 2020 - Scala
Torch Containers simplified in PyTorch
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Apr 28, 2017 - Lua
A pure-python/numpy autograd tensor library
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Jul 15, 2020 - Python
Deep-Learning framework from scratch
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Oct 13, 2018 - Python
Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
reinforcement-learning
deep-learning
graph
gpu
automatic-differentiation
cuda
autograd
gan
neural-networks
openpose
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Updated
Jul 15, 2020 - Python
用例子学习PyTorch1.0(Learning PyTorch with Examples 中文翻译与学习)
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Mar 11, 2019 - Jupyter Notebook
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Updated
May 30, 2020 - Python
Deep Learning for Swift - Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation
swift
machine-learning
deep-neural-networks
deep-learning
automatic-differentiation
autograd
recurrent-neural-networks
neural-networks
convolutional-neural-networks
tensor
gradient-descent
swift-machine-learning
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Updated
Jun 30, 2020 - Swift
European Distributed Deep Learning (EDDL) Library
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Updated
Jul 16, 2020 - C++
Google AI Princeton control framework
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Apr 1, 2020 - Jupyter Notebook
NotImplementedError: VJP of gammainc wrt argnum 0 not defined
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Jun 23, 2020 - Python
Autograd Engine for Python Written in Python C-API for Speed
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Apr 20, 2020 - C
Autograd (backpropagation, reverse-mode auto differentiation) in Nim
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Oct 25, 2017 - Nim
Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
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Sep 8, 2019 - Jupyter Notebook
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cc @ezyang @anjali411 @dylanbespalko