Alternatives and similar repositories for autodiff

Users that are interested in autodiff are comparing it to the libraries listed below

• ebetica / autogradpp
  Direct C++ Interface to PyTorch
  ☆81Updated 7 years ago
• arrayfire / arrayfire-ml
  ArrayFire's Machine Learning Library.
  ☆105Updated 7 years ago
• ZigaSajovic / dCpp
  Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++
  ☆151Updated 6 years ago
• xingdi-eric-yuan / cuda-deep-neural-nets
  Deep neural network framework (C/C++/CUDA).
  ☆32Updated 10 years ago
• theflofly / dnn_tensorflow_cpp
  This project is a simple deep neural network trained using only TensorFlow C++.
  ☆117Updated 2 years ago
• krocki / ArrayLSTM
  GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
  ☆25Updated 5 years ago
• peter-can-talk / meeting-cpp-2017
  Slides and code for my talk at MeetingC++ 2017
  ☆48Updated 7 years ago
• bzcheeseman / pytorch-inference
  OpenCL Inference Engine for pytorch
  ☆51Updated 7 years ago
• nenadmarkus / nets-and-trees
  This demo shows how to learn a neural network on top of decision trees
  ☆32Updated 8 years ago
• ahmetaa / fast-dnn
  A fast deep neural network library (CPU) for speech recognition
  ☆85Updated 6 years ago
• gsamaras / Dolphinn
  High Dimensional Approximate Near(est) Neighbor
  ☆33Updated 8 years ago
• peterrudenko / tiny-rnn
  Lightweight C++11 library for building deep recurrent neural networks
  ☆43Updated 8 years ago
• torch / TH
  Standalone C TH library
  ☆62Updated 8 years ago
• lgarithm / crystalnet
  crystalnet -- a mini core AI library (being refactored, see https://github.com/lgarithm/stdnn-ops)
  ☆16Updated 6 years ago
• upul / Aurora
  Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
  ☆102Updated 7 years ago
• rodrigob / cudatemplates
  The "CUDA templates" are a collection of C++ template classes and functions which provide a consistent interface to NVIDIA's "Compute Uni…
  ☆27Updated 14 years ago
• masahi / nnvm-vision-demo
  Demos interesting image-in, image-out networks running on both NVIDIA and AMD GPUs, with NNVM
  ☆49Updated 7 years ago
• jdeng / rbm-mnist
  C++ 11 implementation of Geoff Hinton's Deep Learning matlab code
  ☆286Updated 10 years ago
• NVIDIA / pynvrtc
  Python Binding to NVRTC
  ☆79Updated last year
• deeplearningais / CUV
  Matrix library for CUDA in C++ and Python
  ☆196Updated 8 years ago
• AlexanderFabisch / CMA-ESpp
  A C++ implementation of the derivative-free optimization algorithm CMA-ES.
  ☆23Updated 12 years ago
• naibaf7 / libdnn
  Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL
  ☆137Updated 8 years ago
• lukemetz / Neural-Net-Experiments
  A GPU / CPU implementation of a feed forward neural network
  ☆31Updated 10 years ago
• ucla-vision / parle
  ☆38Updated 7 years ago
• opveclib / opveclib
  The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…
  ☆68Updated 8 years ago
• yuruofeifei / mms
  MXNet Model Serving
  ☆25Updated 8 years ago
• flame / fmm-gen
  Generating Families of Practical Fast Matrix Multiplication Algorithms
  ☆12Updated 8 years ago
• davidstutz / tensorflow-cpp-op-example
  Simple example of implementing a new Tensorflow operation and its gradient in C++.
  ☆56Updated 6 years ago
• facebookarchive / TorchMPI
  Implements a message passing interface (MPI) wrapper that makes it easy to do massively parallel computations inside the Torch deep-learn…
  ☆110Updated 6 years ago
• BojanPLOJ / Bipropagation
  ☆42Updated 4 years ago