ZigaSajovic / dCppLinks
Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++
☆151Updated 6 years ago
Alternatives and similar repositories for dCpp
Users that are interested in dCpp are comparing it to the libraries listed below
Sorting:
- Fast autodiff.☆19Updated 10 years ago
- Benchmarking matrix multiplication implementations☆98Updated 8 years ago
- ArrayFire's Machine Learning Library.☆104Updated 6 years ago
- Matrix library for CUDA in C++ and Python☆195Updated 8 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆57Updated 9 years ago
- A flexible and efficient С++ template library for dimension reduction☆234Updated 11 months ago
- Symbolic differentiation engine for optimization-based machine learning models.☆43Updated 7 years ago
- Header-only version of RedSVD☆58Updated 10 years ago
- Sketching-based Distributed Matrix Computations for Machine Learning☆100Updated 7 years ago
- TH++, C++ interface to the torch7 TH library☆238Updated 6 years ago
- A C++ library which allows the numerical optimisation of any given problem, function, program or you-name-it☆45Updated 7 years ago
- High-Performance Tensor Transpose library☆195Updated 2 years ago
- A Light-weight and Fast Template Matrix Library☆132Updated 12 years ago
- Python Binding to NVRTC☆79Updated 7 months ago
- Examples of using the adept autodifferentiation library for standard NLP learning problems☆17Updated 10 years ago
- Information Theoretic Learning Auto-encoders☆58Updated 9 years ago
- ☆154Updated 8 years ago
- Port of RBM_toolbox to lua☆39Updated 8 years ago
- General Stride K-Nearest Neighbors☆13Updated 3 years ago
- The simple essence of automatic differentiation☆200Updated 4 years ago
- Cyclades☆28Updated 7 years ago
- Learning to Discover Efficient Mathematical Identities☆48Updated 10 years ago
- An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet…☆143Updated 7 years ago
- Tensorlang, a differentiable programming language based on TensorFlow☆291Updated 7 years ago
- Proximal Operator Graph Solver☆88Updated 2 years ago
- Cover Tree implementation in C++ for k-Nearest Neighbours and range search☆93Updated 4 years ago
- A library for unconstrained minimization of smooth functions using Newton's method or L-BFGS.☆36Updated 6 years ago
- Neocortex-like reinforcement learning that runs on the GPU or CPU (OpenCL)☆69Updated 9 years ago
- Caffe: a fast open framework for deep learning.☆14Updated 9 years ago
- Tensor for C++ 11☆38Updated 6 years ago