dmlc / mshadowLinks
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
☆1,119Updated 6 years ago
Alternatives and similar repositories for mshadow
Users that are interested in mshadow are comparing it to the libraries listed below
Sorting:
- A common bricks library for building scalable and portable distributed machine learning.☆877Updated last week
- move forward to https://github.com/dmlc/mxnet☆1,025Updated 9 years ago
- ☆1,656Updated 6 years ago
- Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bind…☆705Updated 6 years ago
- Reliable Allreduce and Broadcast Interface for distributed machine learning☆514Updated 4 years ago
- moved to https://github.com/dmlc/ps-lite☆647Updated 9 years ago
- Fast Recurrent Networks Library☆577Updated 8 years ago
- Acceleration package for neural networks on multi-core CPUs☆1,695Updated last year
- ATen: A TENsor library for C++11☆702Updated 5 years ago
- Parameter server framework for distributed machine learning☆780Updated 6 years ago
- Automatically exported from code.google.com/p/cuda-convnet2☆807Updated 9 years ago
- Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)☆682Updated 2 months ago
- A GPU implementation of Convolutional Neural Nets in C++☆505Updated 4 years ago
- Facebook's CUDA extensions.☆285Updated 6 years ago
- ☆371Updated 7 years ago
- Tutorial code on how to build your own Deep Learning System in 2k Lines☆2,018Updated 6 years ago
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆298Updated 6 years ago
- A lightweight parameter server interface☆1,558Updated 2 years ago
- Assignment 1: automatic differentiation☆473Updated 6 years ago
- PMLS-Caffe: Distributed Deep Learning Framework for Parallel ML System☆194Updated 7 years ago
- LSTM implementation on Caffe☆493Updated 8 years ago
- Purified Purine.☆256Updated 10 years ago
- Deprecated☆337Updated 8 years ago
- Low-precision matrix multiplication☆1,811Updated last year
- Caffe: a fast open framework for deep learning.☆671Updated 2 years ago
- GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time …☆218Updated 8 years ago
- ☆588Updated 7 years ago
- Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework☆425Updated 7 years ago
- Open single and half precision gemm implementations☆383Updated 2 years ago
- My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.☆260Updated 10 years ago