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
- Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++☆151Updated 6 years ago
- This project is a simple deep neural network trained using only TensorFlow C++.☆117Updated last year
- A fast deep neural network library (CPU) for speech recognition☆84Updated 6 years ago
- Deep neural network framework (C/C++/CUDA).☆32Updated 10 years ago
- Direct C++ Interface to PyTorch☆81Updated 7 years ago
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆137Updated 8 years ago
- crystalnet -- a mini core AI library (being refactored, see https://github.com/lgarithm/stdnn-ops)☆16Updated 5 years ago
- Lightweight C++11 library for building deep recurrent neural networks☆43Updated 8 years ago
- Matrix library for CUDA in C++ and Python☆196Updated 8 years ago
- Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.☆102Updated 7 years ago
- Custom fork containing our own python backend for integration into neon☆15Updated 2 years ago
- Slides and code for my talk at MeetingC++ 2017☆48Updated 7 years ago
- Simple MXNet sequence-to-sequence model (neural machine translation)☆24Updated 7 years ago
- Python wrappers for the NVIDIA cuDNN libraries☆140Updated 8 years ago
- Standalone C TH library☆62Updated 8 years ago
- Python Binding to NVRTC☆79Updated 11 months ago
- Benchmarking matrix multiplication implementations☆100Updated 9 years ago
- Generating Families of Practical Fast Matrix Multiplication Algorithms☆12Updated 8 years ago
- GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..☆25Updated 5 years ago
- Convolutional neural networks C++ framework with CPU and GPU (CUDA) backends☆181Updated 6 years ago
- C++ 11 implementation of Geoff Hinton's Deep Learning matlab code☆287Updated 10 years ago
- OpenCL Inference Engine for pytorch☆51Updated 7 years ago
- PyTorch development for onnx☆21Updated 7 years ago
- A GPU / CPU implementation of a feed forward neural network☆31Updated 10 years ago
- Papers and blogs related to distributed deep learning☆96Updated 7 years ago
- CURRENNT -- CUDA-enabled machine learning library for recurrent neural network☆16Updated 5 years ago
- This demo shows how to learn a neural network on top of decision trees☆32Updated 8 years ago
- ☆38Updated 7 years ago
- C++ interface for mxnet☆115Updated 8 years ago