gplhegde / convolution-flavors
Implementation of convolution layer in different flavors
☆68Updated 7 years ago
Alternatives and similar repositories for convolution-flavors:
Users that are interested in convolution-flavors are comparing it to the libraries listed below
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated 10 months ago
- ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)☆17Updated 5 years ago
- implementation of winograd minimal convolution algorithm on Intel Architecture☆39Updated 7 years ago
- Winograd-based convolution implementation in OpenCL☆28Updated 8 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- Test winograd convolution written in TVM for CUDA and AMDGPU☆40Updated 6 years ago
- Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.☆14Updated 7 years ago
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆190Updated 5 years ago
- GEMM and Winograd based convolutions using CUTLASS☆26Updated 4 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- Fast CUDA Kernels for ResNet Inference.☆172Updated 5 years ago
- ☆69Updated 2 years ago
- ☆26Updated 8 years ago
- Fast matrix multiplication for few-bit integer matrices on CPUs.☆27Updated 5 years ago
- ☆67Updated 5 years ago
- how to design cpu gemm on x86 with avx256, that can beat openblas.☆68Updated 5 years ago
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆146Updated 7 years ago
- Lightweight C implementation of CNNs for Embedded Systems☆60Updated 2 years ago
- ☆14Updated 5 years ago
- Repository containing pruned models and related information☆37Updated 3 years ago
- Quantization of Convolutional Neural networks.☆244Updated 7 months ago
- PyTorch -> ONNX -> TVM for autotuning☆23Updated 5 years ago
- ☆29Updated 3 years ago
- The official, proof-of-concept C++ implementation of PocketNN.☆32Updated 9 months ago
- Reducing the size of convolutional neural networks☆114Updated 7 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
- Benchmark scripts for TVM☆73Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆96Updated 3 years ago
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆50Updated 7 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated last year