Alternatives and similar repositories for DeepLearning

Users that are interested in DeepLearning are comparing it to the libraries listed below

• tatsy / educnn
  Simple implementation of CNN (convolutional neural network) with precise-comments.
  ☆36Updated 3 years ago
• btgraham / SparseConvNet-CPU-archived
  A CPU version of SparseConvNet
  ☆12Updated 9 years ago
• 222464 / AILib
  A large collection of mostly reinforcement learning agents.
  ☆84Updated 10 years ago
• drsrinathsridhar / kaadugal
  Kaadugal is a parallelized multi-core C++ implementation of the random forests algorithm for classification, regression, and structured p…
  ☆23Updated 7 years ago
• AlexanderFabisch / CMA-ESpp
  A C++ implementation of the derivative-free optimization algorithm CMA-ES.
  ☆23Updated 11 years ago
• vishwa-raman / DeepLearning
  Code to build MLP models for outdoor head orientation tracking
  ☆18Updated 12 years ago
• yuanming-hu / Pytracer
  Simple path tracing renderer written from scratch in C++ with Python interface.
  ☆22Updated 8 years ago
• rteammco / spherical-k-means
  Spherical k-means implementation in Matlab and C++ (with multithreading). The spherical k-means algorithm is used to automatically group …
  ☆27Updated 10 years ago
• headupinclouds / half
  half precision floating point library (fork)
  ☆7Updated 9 years ago
• xingdi-eric-yuan / cuda-deep-neural-nets
  Deep neural network framework (C/C++/CUDA).
  ☆32Updated 9 years ago
• milakov / nnForge
  Convolutional neural networks C++ framework with CPU and GPU (CUDA) backends
  ☆179Updated 6 years ago
• jdeng / rbm-mnist
  C++ 11 implementation of Geoff Hinton's Deep Learning matlab code
  ☆284Updated 9 years ago
• sunwaylive / five-minutes-algorithm
  Basic algorithms everybody should solve in 5 minutes
  ☆34Updated 2 years ago
• mikeroberts3000 / GpuComputing
  This repository contains easy-to-read Python/CUDA implementations of fundamental GPU computing primitives.
  ☆36Updated 9 years ago
• daviddoria / WaveletReconstruction
  Wavelet based surface reconstruction
  ☆13Updated 15 years ago
• sol-prog / regex_tutorial
  ☆30Updated 5 years ago
• vasiliykarasev / svs
  slic video segmentation
  ☆10Updated 10 years ago
• ANNetGPGPU / ANNetGPGPU
  A GPU (CUDA) based Artificial Neural Network library
  ☆109Updated 3 years ago
• bchoi / ParKD
  Parallel k-D Tree Construction
  ☆57Updated 13 years ago
• paladin-t / c4gpu
  A GPGPU library with OpenGL. Intended to be cross platform as possible using the Transform Feedback API.
  ☆10Updated 6 years ago
• ejaasaari / mrpt-comparison
  Performance comparison of the MRPT algorithm to other approximate nearest neighbor search libraries
  ☆27Updated 7 years ago
• accosmin / nano
  C++ library [machine learning & numerical optimization] - superseeded by libnano
  ☆1Updated 6 years ago
• rlk / util3d
  C utility modules for 3D graphics using OpenGL
  ☆25Updated 10 years ago
• fengChenHPC / kmeans_cuda
  A high performance implementation of kmeans algorithm with cuda
  ☆18Updated 10 years ago
• xingdi-eric-yuan / recurrent-net-lstm
  Long Short-Term Memory Recurrent Neural Networks
  ☆26Updated 10 years ago
• GSBicalho / TrueNgine
  A N-Dimensional Renderer
  ☆12Updated 6 years ago
• omidm / nimbus
  nimbus: a cloud computing framework for high performance computations
  ☆25Updated 5 years ago
• opengm / maxflow
  An implementation of the maxflow algorithm by Yuri Boykov and Vladimir Kolmogorov.
  ☆12Updated 10 years ago
• NewProggie / ShapePP
  ShapePP is a rewrite of ShapeOp, a header-only C++ library for static and dynamic geometry processing.
  ☆16Updated 8 years ago
• forresti / convolution
  Communication-Minimizing 2D Convolution in GPU Registers
  ☆30Updated 11 years ago