moskewcz / boda
Boda: A C++ Framework for Efficient Experiments in Computer Vision
☆64Updated 5 years ago
Alternatives and similar repositories for boda:
Users that are interested in boda are comparing it to the libraries listed below
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆135Updated 8 years ago
- Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).☆94Updated 8 years ago
- Tools to convert Caffe models to neon's serialization format☆39Updated 2 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆134Updated 7 years ago
- Training deep neural networks with low precision multiplications☆63Updated 9 years ago
- Caffe with NNPACK integration☆58Updated 9 years ago
- Proof-of-Concept CNN in Halide☆22Updated 8 years ago
- tutorial to optimize GEMM performance on android☆51Updated 9 years ago
- Binarized Neural Network TF training code + C matrix / eval library.☆99Updated 7 years ago
- Research Blog☆24Updated 7 years ago
- Demos interesting image-in, image-out networks running on both NVIDIA and AMD GPUs, with NNVM☆49Updated 7 years ago
- Caffe: a fast open framework for deep learning.☆14Updated 8 years ago
- Caffe: a fast open framework for deep learning. With OpenCL and CUDA support.☆86Updated 6 years ago
- An universal deep learning models conversor☆141Updated 8 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
- CNNs in Halide☆23Updated 9 years ago
- Torch FFI-bindings for NNPACK☆30Updated 7 years ago
- Python Binding to NVRTC☆79Updated 6 months ago
- Open single and half precision gemm implementations☆381Updated 2 years ago
- This is a demo project that shows how you can utilize Caffe2's modular design and build a library on top of it.☆40Updated 6 years ago
- Theano implementation of XNOR-Net☆23Updated 8 years ago
- Facebook's CUDA extensions.☆283Updated 6 years ago
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆28Updated 9 years ago
- The "CUDA templates" are a collection of C++ template classes and functions which provide a consistent interface to NVIDIA's "Compute Uni…☆27Updated 13 years ago
- ☆23Updated 8 years ago
- Custom fork containing our own python backend for integration into neon☆15Updated 2 years ago
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆297Updated 6 years ago
- ☆76Updated 8 years ago
- Node based Gui for creating caffe networks☆103Updated 4 years ago
- OpenCL backend for Torch nn neural networks library☆125Updated 8 years ago