reven86 / gpgpu-neuralnetLinks
An OpenCL neural network implementation in Python. Uses massively parallel GPU computations to train and test neural network. Uses PyOpenCL as wrapper around OpenCL. Tight integration with NumPy. Tags: python, pyopencl, gpgpu, neural network, gpu computations, opencl, numpy
☆25Updated 14 years ago
Alternatives and similar repositories for gpgpu-neuralnet
Users that are interested in gpgpu-neuralnet are comparing it to the libraries listed below
Sorting:
- Automatic differentiation for NumPy☆101Updated 10 years ago
- ☆35Updated 12 years ago
- itertools. But picklable.☆37Updated 10 years ago
- ☆73Updated 13 years ago
- ☆76Updated 9 years ago
- Scikit-learn compatible tools using theano☆365Updated 8 years ago
- ☆25Updated 3 years ago
- Library for GPU-related statistical functions☆84Updated 13 years ago
- ☆55Updated 9 years ago
- Utilities for nolearn.lasagne☆21Updated 8 years ago
- Practical 1: Introduction to lua and torch☆136Updated 9 years ago
- Deep Learning Package base on Theano☆104Updated 9 years ago
- Optimizers for machine learning☆183Updated 2 years ago
- For running deep neural net experiment on AWS EC2 GPU instance with Docker and Docker machine☆57Updated 9 years ago
- Entry for GalaxyZoo challenge☆35Updated 11 years ago
- Convolution op for Theano based on CuFFT using scikits.cuda☆51Updated 11 years ago
- Information Theoretic Learning Auto-encoders☆58Updated 9 years ago
- Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.☆129Updated 4 years ago
- Install TensorFlow on AWS GPU-instance☆28Updated 9 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated 2 years ago
- Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).☆94Updated 8 years ago
- Efficient distributed hyperparameter search library written in Python.☆74Updated 7 years ago
- Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning☆294Updated 9 years ago
- Flexible Bayesian inference using TensorFlow☆142Updated 8 years ago
- MPI Parallel framework for training deep learning models built in Theano☆54Updated 8 years ago
- Deep learning for hackers: a hands-on approach to machine learning and deep learning.☆67Updated 10 years ago
- Building random forests on GPU☆205Updated 8 years ago
- IPython notebook for training multilayer LSTM and RNN networks with pycaffe☆53Updated 10 years ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…☆68Updated 8 years ago
- Neural network training using iterated projections.☆90Updated 8 years ago