ZigaSajovic / dCpp
Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++
☆150Updated 5 years ago
Alternatives and similar repositories for dCpp:
Users that are interested in dCpp are comparing it to the libraries listed below
- ArrayFire's Machine Learning Library.☆103Updated 6 years ago
- Header-only version of RedSVD☆58Updated 10 years ago
- High-Performance Tensor Transpose library☆190Updated last year
- Fast autodiff.☆19Updated 10 years ago
- Matrix library for CUDA in C++ and Python☆196Updated 8 years ago
- A flexible and efficient С++ template library for dimension reduction☆233Updated 9 months ago
- Symbolic differentiation engine for optimization-based machine learning models.☆42Updated 7 years ago
- Tensor for C++ 11☆38Updated 6 years ago
- A Light-weight and Fast Template Matrix Library☆132Updated 12 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆57Updated 9 years ago
- Python Binding to NVRTC☆79Updated 5 months ago
- C++ dynamic ndarray library, with Python exposure☆305Updated 4 years ago
- Examples of using the adept autodifferentiation library for standard NLP learning problems☆17Updated 10 years ago
- ☆154Updated 8 years ago
- TH++, C++ interface to the torch7 TH library☆238Updated 6 years ago
- Scientific library for high-precision computations and research☆49Updated 7 years ago
- A C++ library which allows the numerical optimisation of any given problem, function, program or you-name-it☆45Updated 7 years ago
- Cover Tree implementation in C++ for k-Nearest Neighbours and range search☆93Updated 4 years ago
- Caffe: a fast open framework for deep learning.☆14Updated 9 years ago
- Automatic Differentiation for OpenCL.☆20Updated 10 years ago
- Sketching-based Distributed Matrix Computations for Machine Learning☆99Updated 7 years ago
- Proximal Operator Graph Solver☆88Updated 2 years ago
- Distributed-memory, arbitrary-precision, dense and sparse-direct linear algebra, conic optimization, and lattice reduction☆506Updated 5 years ago
- A high-performance DSL for deep neural networks in Julia☆53Updated 2 years ago
- Benchmarking matrix multiplication implementations☆98Updated 8 years ago
- Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).☆94Updated 8 years ago
- Information Theoretic Learning Auto-encoders☆58Updated 8 years ago
- This demo shows how to learn a neural network on top of decision trees☆32Updated 7 years ago
- IPython / Jupyter integration for pybind11☆68Updated 7 years ago
- Flexible Library for Efficient Numerical Solutions☆127Updated 3 years ago