OneRaynyDay / autodiffLinks
Symbolic differentiation engine for optimization-based machine learning models.
☆43Updated 7 years ago
Alternatives and similar repositories for autodiff
Users that are interested in autodiff are comparing it to the libraries listed below
Sorting:
- ArrayFire's Machine Learning Library.☆105Updated 6 years ago
- Lightweight C++11 library for building deep recurrent neural networks☆42Updated 8 years ago
- Direct C++ Interface to PyTorch☆81Updated 7 years ago
- Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++☆151Updated 6 years ago
- A fast deep neural network library (CPU) for speech recognition☆84Updated 6 years ago
- This demo shows how to learn a neural network on top of decision trees☆32Updated 8 years ago
- This project is a simple deep neural network trained using only TensorFlow C++.☆117Updated last year
- GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..☆25Updated 5 years ago
- C++ 11 implementation of Geoff Hinton's Deep Learning matlab code☆284Updated 9 years ago
- crystalnet -- a mini core AI library (being refactored, see https://github.com/lgarithm/stdnn-ops)☆16Updated 5 years ago
- Generating Families of Practical Fast Matrix Multiplication Algorithms☆12Updated 8 years ago
- Simple MXNet sequence-to-sequence model (neural machine translation)☆24Updated 7 years ago
- A GPU / CPU implementation of a feed forward neural network☆31Updated 10 years ago
- Fast high-dimensional exact KNN search.☆18Updated 8 years ago
- Matrix library for CUDA in C++ and Python☆196Updated 8 years ago
- Slides and code for my talk at MeetingC++ 2017☆48Updated 7 years ago
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆28Updated 9 years ago
- Deep neural network framework (C/C++/CUDA).☆32Updated 9 years ago
- A wrapper for LibSVM that lets you train SVM's directly on Eigen library matrices in C++☆83Updated 9 years ago
- OpenCL Inference Engine for pytorch☆51Updated 7 years ago
- Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning☆33Updated 8 years ago
- Averaged Stochastic Gradient Descent Classifiers☆42Updated 13 years ago
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆136Updated 8 years ago
- a C++ wrapper of Caffe and mxnet to make predictions☆49Updated 7 years ago
- High Dimensional Approximate Near(est) Neighbor☆33Updated 7 years ago
- Benchmarking matrix multiplication implementations☆100Updated 8 years ago
- Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).☆94Updated 8 years ago
- 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
- Demos interesting image-in, image-out networks running on both NVIDIA and AMD GPUs, with NNVM☆49Updated 7 years ago
- Training a Tensorflow graph in C++☆26Updated 8 years ago