Alternatives and similar repositories for VeryTinyCnn

Users that are interested in VeryTinyCnn are comparing it to the libraries listed below

• Xilinx / xilinx-tiny-cnn
  ☆143Updated 6 years ago
• dorthyluu / cs194-winograd
  ☆26Updated 8 years ago
• mz24cn / clnet
  OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debug…
  ☆68Updated 6 years ago
• meton-robean / PaperNotes
  记录阅读各类paper的想法笔记（关注体系结构，机器学习系统，深度学习，计算机视觉）
  ☆25Updated 5 years ago
• TaoHuUMD / Winograd_Convolution
  A Winograd based kernel for convolutions in deep learning framework
  ☆15Updated 8 years ago
• fan-wenjie / LeNet-5
  LeNet-5,Use C Program Language Without Any 3rd Library
  ☆73Updated 8 years ago
• WuDan0399 / Integrate-NVDLA-and-TVM
  ☆31Updated 2 years ago
• CharlieCurry / tvm-learning
  TVM learning and research
  ☆13Updated 4 years ago
• tostq / DeepLearningC
  Simple program to learn CNN (LeNet-5) in pure C
  ☆268Updated 8 years ago
• atrifex / CNN-Acceleration
  Implementing CNN code in CUDA and OpenCL to evaluate its performance on NVIDIA GPUs, AMD GPUs, and an FPGA platform.
  ☆54Updated 8 years ago
• nlbutts / tflite_zynq
  Example code and instructions on getting Tensorflow Lite running on a Xilinx Zynq
  ☆49Updated 7 years ago
• merrymercy / tvm-mali
  Optimizing Mobile Deep Learning on ARM GPU with TVM
  ☆181Updated 6 years ago
• carlushuang / cpu_gemm_opt
  how to design cpu gemm on x86 with avx256, that can beat openblas.
  ☆71Updated 6 years ago
• cs217 / cs217.github.io
  Course Webpage for CS 217 Hardware Accelerators for Machine Learning, Stanford University
  ☆98Updated 2 years ago
• FrozenGene / tvm-tutorial
  TVM tutorial
  ☆66Updated 6 years ago
• tlc-pack / tophub
  tophub autotvm log collections
  ☆70Updated 2 years ago
• lyuchuny3 / Tengine_gemm_tutorial
  Tengine gemm tutorial, step by step
  ☆13Updated 4 years ago
• chasingegg / Winconv
  implementation of winograd minimal convolution algorithm on Intel Architecture
  ☆39Updated 7 years ago
• nachiket / papaa-opencl
  OpenCL Labs for PAPAA Summer School 2016 Edition
  ☆46Updated 8 years ago
• CSL-KU / firesim-nvdla
  FireSim-NVDLA: NVIDIA Deep Learning Accelerator (NVDLA) Integrated with RISC-V Rocket Chip SoC Running on the Amazon FPGA Cloud
  ☆163Updated 3 years ago
• gplhegde / convolution-flavors
  Implementation of convolution layer in different flavors
  ☆68Updated 7 years ago
• JunningWu / AIChip
  Aiming at an AI Chip based on RISC-V and NVDLA.
  ☆20Updated 7 years ago
• dicecco1 / fpga_caffe
  ☆119Updated 7 years ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆177Updated 6 years ago
• csehydrogen / Winograd-OpenCL
  Winograd-based convolution implementation in OpenCL
  ☆28Updated 8 years ago
• xylcbd / EasyCNN
  easy convolution neural network
  ☆166Updated 3 years ago
• universecool / mobilenet
  C++ implementation of inference of mobilenet
  ☆17Updated 5 years ago
• soDLA-publishment / somnia
  Learn NVDLA by SOMNIA
  ☆36Updated 5 years ago
• TianzhongSong / Tensorflow-quantization-test
  Tensorflow quantization (float32-->int8) inference test
  ☆74Updated 7 years ago
• andersy005 / tvm-in-action
  TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together
  ☆64Updated 7 years ago