jpowie01 / CUDA-DNN-MNIST
Example C++ CUDA implementation for training Neural Network on MNIST dataset
☆26Updated 6 years ago
Alternatives and similar repositories for CUDA-DNN-MNIST:
Users that are interested in CUDA-DNN-MNIST are comparing it to the libraries listed below
- Personal collection of references for high performance mixed precision training.☆41Updated 5 years ago
- Implementation of convolution layer in different flavors☆68Updated 7 years ago
- Quantize weights and activations in Recurrent Neural Networks.☆94Updated 6 years ago
- image to column☆30Updated 10 years ago
- Fast sparse deep learning on CPUs☆52Updated 2 years ago
- Lightweight C implementation of CNNs for Embedded Systems☆60Updated 2 years ago
- Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.☆14Updated 7 years ago
- Training with FP16 weights in PyTorch☆77Updated 5 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆40Updated 6 years ago
- Pretrained VGG16 neural net in C language☆49Updated 3 years ago
- ☆26Updated 2 years ago
- Repository containing pruned models and related information☆37Updated 3 years ago
- Example codes appears in lectures☆24Updated 3 years ago
- This is a c++ implementation of an LSTM Neural Network parallelized for a GPU using CUDA☆23Updated 7 years ago
- This is the (evolving) reading list for the seminar.☆57Updated 4 years ago
- Fast matrix multiplication for few-bit integer matrices on CPUs.☆27Updated 5 years ago
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆146Updated 7 years ago
- cuDNN sample codes provided by Nvidia☆45Updated 6 years ago
- Convolutional Neural Network of vgg19 model using Cuda to accelerate☆12Updated 6 years ago
- Implementing CNN code in CUDA and OpenCL to evaluate its performance on NVIDIA GPUs, AMD GPUs, and an FPGA platform.☆54Updated 7 years ago
- ☆53Updated 7 years ago
- Tutorials on Quantized Neural Network using Tensorflow Lite☆86Updated 5 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 5 years ago
- GEMM and Winograd based convolutions using CUTLASS☆26Updated 4 years ago
- This is a collection of works on neural networks and neural accelerators.☆40Updated 5 years ago
- ☆69Updated last year
- LCNN: Lookup-based Convolutional Neural Network☆52Updated 7 years ago
- Example of multi-process, multi-GPU training using Torch-parallel, nVidia-nccl, and nVidia-MPS☆16Updated 8 years ago
- CUDA for MNIST training/inference☆37Updated last year
- Training deep neural networks with low precision multiplications☆63Updated 9 years ago