Alternatives and similar repositories for swin-transformer-cpp

Users that are interested in swin-transformer-cpp are comparing it to the libraries listed below

• dianhsu / transformer-cpp-cpu
  用C++实现一个简单的Transformer模型。 Attention Is All You Need。
  ☆52Updated 4 years ago
• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆143Updated last year
• MegEngine / cutlass
  CUDA Templates for Linear Algebra Subroutines
  ☆100Updated last year
• Qualcomm-AI-research / FP8-quantization
  ☆163Updated 2 years ago
• Qualcomm-AI-research / transformer-quantization
  ☆206Updated 3 years ago
• Syencil / Programming_Massively_Parallel_Processors
  CUDA 6大并行计算模式 代码与笔记
  ☆61Updated 5 years ago
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆36Updated 3 years ago
• UDC-GAC / openCNN
  A Winograd Minimal Filter Implementation in CUDA
  ☆28Updated 4 years ago
• OpenPPL / ppl.kernel.cpu
  ☆18Updated last year
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆67Updated last year
• leimao / LibTorch-ResNet-CIFAR
  ResNet Implementation, Training, and Inference Using LibTorch C++ API
  ☆42Updated last year
• xxxxyu / FlexNN
  Code for ACM MobiCom 2024 paper "FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices"
  ☆56Updated 9 months ago
• carlushuang / cpu_gemm_opt
  how to design cpu gemm on x86 with avx256, that can beat openblas.
  ☆72Updated 6 years ago
• tigert1998 / qat
  Manually implemented quantization-aware training
  ☆21Updated 3 years ago
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆161Updated last week
• li199603 / sgemm_with_cuda
  SGEMM optimization with cuda step by step
  ☆21Updated last year
• BBuf / how-to-optimize-gemm
  ☆98Updated 4 years ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆102Updated 7 years ago
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆92Updated 2 years ago
• HuPengsheet / EasyNN
  EasyNN是一个面向教学而开发的神经网络推理框架，旨在让大家0基础也能自主完成推理框架编写！
  ☆33Updated last year
• Shunli-Wang / Tiny-YOLO-LSQ
  This is an implementation of YOLO using LSQ network quantization method.
  ☆22Updated 3 years ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆111Updated 10 months ago
• JieRen98 / SGEMM-SASS-Annotation
  ☆21Updated 4 years ago
• njuhope / cuda_sgemm
  ☆115Updated last year
• Zhen-Dong / CoDeNet
  [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…
  ☆27Updated 2 years ago
• pigirons / conv3x3_m1
  This is a demo how to write a high performance convolution run on apple silicon
  ☆56Updated 3 years ago
• aojunzz / NM-sparsity
  ☆241Updated 2 years ago
• jundaf2 / CUDA-INT8-GEMM
  CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API
  ☆33Updated 2 years ago
• OpenPPL / ppl.common
  Common libraries for PPL projects
  ☆29Updated 7 months ago
• MegEngine / examples
  A set of examples around MegEngine
  ☆31Updated last year