ZigaSajovic / dCpp

Related projects ⓘ

Alternatives and complementary repositories for dCpp

• arrayfire / arrayfire-ml
  ArrayFire's Machine Learning Library.
  ☆102Updated 6 years ago
• rjhogan / Adept
  Fast automatic differentiation library in C++
  ☆105Updated 3 years ago
• stan-dev / nomad
  Fast autodiff.
  ☆19Updated 9 years ago
• deeplearningais / CUV
  Matrix library for CUDA in C++ and Python
  ☆196Updated 7 years ago
• springer13 / hptt
  High-Performance Tensor Transpose library
  ☆185Updated last year
• OneRaynyDay / autodiff
  Symbolic differentiation engine for optimization-based machine learning models.
  ☆42Updated 7 years ago
• attractivechaos / matmul
  Benchmarking matrix multiplication implementations
  ☆98Updated 8 years ago
• afriesen / rdis
  C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.
  ☆57Updated 9 years ago
• lisitsyn / tapkee
  A flexible and efficient С++ template library for dimension reduction
  ☆232Updated 5 months ago
• ntessore / redsvd-h
  Header-only version of RedSVD
  ☆58Updated 10 years ago
• lindahua / light-matrix
  A Light-weight and Fast Template Matrix Library
  ☆131Updated 11 years ago
• foges / pogs
  Proximal Operator Graph Solver
  ☆87Updated last year
• lunochod / caffe
  Caffe: a fast open framework for deep learning.
  ☆14Updated 9 years ago
• libdynd / libdynd
  C++ dynamic ndarray library, with Python exposure
  ☆304Updated 4 years ago
• msupernaw / AD4CL
  Automatic Differentiation for OpenCL.
  ☆21Updated 9 years ago
• NVIDIA / pynvrtc
  Python Binding to NVRTC
  ☆79Updated last month
• IntelLabs / Latte.jl
  A high-performance DSL for deep neural networks in Julia
  ☆53Updated 2 years ago
• naibaf7 / libdnn
  Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL
  ☆135Updated 7 years ago
• cnel / itl-ae
  Information Theoretic Learning Auto-encoders
  ☆57Updated 8 years ago
• michael-lehn / ulmBLAS
  ulmBLAS
  ☆104Updated 2 years ago
• jostmey / RestrictedBoltzmannMachine
  Neural network trained as a generative model on the MNIST dataset using Persistent Contrastive Divergence.
  ☆40Updated 4 years ago
• facebookarchive / thpp
  TH++, C++ interface to the torch7 TH library
  ☆236Updated 6 years ago
• 222464 / NeoRL
  Neocortex-like reinforcement learning that runs on the GPU or CPU (OpenCL)
  ☆69Updated 8 years ago
• xdata-skylark / libskylark
  Sketching-based Distributed Matrix Computations for Machine Learning
  ☆98Updated 6 years ago
• BachiLi / had
  ☆34Updated 7 years ago
• clab / clab-autodiff-examples
  Examples of using the adept autodifferentiation library for standard NLP learning problems
  ☆17Updated 10 years ago