ppwwyyxx / haDNNLinks
Proof-of-Concept CNN in Halide
☆22Updated 9 years ago
Alternatives and similar repositories for haDNN
Users that are interested in haDNN are comparing it to the libraries listed below
Sorting:
- CNNs in Halide☆23Updated 10 years ago
- tutorial to optimize GEMM performance on android☆51Updated 9 years ago
- Boda: A C++ Framework for Efficient Experiments in Computer Vision☆64Updated 6 years ago
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆137Updated 8 years ago
- Optimized half precision gemm assembly kernels (deprecated due to ROCm)☆47Updated 8 years ago
- Training deep neural networks with low precision multiplications☆64Updated 10 years ago
- Base code and optimized code for the benchmarks used in the PolyMage paper published at ASPLOS 2015☆19Updated 9 years ago
- Library for fast image convolution in neural networks on Intel Architecture☆31Updated 8 years ago
- Kernel Fusion and Runtime Compilation Based on NNVM☆71Updated 8 years ago
- Demos interesting image-in, image-out networks running on both NVIDIA and AMD GPUs, with NNVM☆49Updated 7 years ago
- CaffePresso: An Optimized Library for Deep Learning on Embedded Accelerator-based platforms☆87Updated last year
- ☆47Updated 5 years ago
- Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).☆94Updated 8 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆137Updated 8 years ago
- a C++ wrapper of Caffe and mxnet to make predictions☆49Updated 7 years ago
- Caffe: a fast open framework for deep learning.☆14Updated 9 years ago
- CNN accelerated by cuda. Test on mnist and finilly get 99.76%☆185Updated 8 years ago
- Binarized Neural Network TF training code + C matrix / eval library.☆101Updated 7 years ago
- Caffe: a fast open framework for deep learning. With OpenCL and CUDA support.☆86Updated 7 years ago
- Caffe with NNPACK integration☆59Updated 9 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆41Updated 7 years ago
- Caffe implementation of accurate low-precision neural networks☆118Updated 7 years ago
- Caffe for Sparse Convolutional Neural Network☆237Updated 2 years ago
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆298Updated 6 years ago
- Ristretto: Caffe-based approximation of convolutional neural networks.☆30Updated 7 years ago
- ☆101Updated 5 years ago
- Communication-Minimizing 2D Convolution in GPU Registers☆30Updated 12 years ago
- Python wrappers for the NVIDIA cuDNN libraries☆142Updated 8 years ago
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆28Updated 9 years ago
- ☆62Updated 7 years ago