jpowie01 / CUDA-DNN-MNIST

Related projects: ⓘ

• yottabytt / convolution_kernel
  Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.
  ☆14Updated 6 years ago
• mcarilli / mixed_precision_references
  Personal collection of references for high performance mixed precision training.
  ☆41Updated 4 years ago
• DeGirum / pruned-models
  Repository containing pruned models and related information
  ☆35Updated 3 years ago
• romulus0914 / CNN_VGG19_CUDA
  Convolutional Neural Network of vgg19 model using Cuda to accelerate
  ☆11Updated 6 years ago
• soon-yau / QNN
  Tutorials on Quantized Neural Network using Tensorflow Lite
  ☆85Updated 5 years ago
• mit-han-lab / vww
  ☆54Updated this week
• BertMoons / QuantizedNeuralNetworks-Keras-Tensorflow
  Quantized Neural Networks - networks trained for inference at arbitrary low precision.
  ☆147Updated 6 years ago
• ekut-es / pico-cnn
  Lightweight C implementation of CNNs for Embedded Systems
  ☆53Updated last year
• zhuwenxi / pytorch-profiling-tool
  ☆51Updated 6 years ago
• gplhegde / convolution-flavors
  Implementation of convolution layer in different flavors
  ☆68Updated 6 years ago
• wjc852456 / Neural-Networks-on-Silicon
  This is a collection of works on neural networks and neural accelerators.
  ☆40Updated 5 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.
  ☆52Updated 7 years ago
• OpenHero / im2col
  image to column
  ☆31Updated 10 years ago
• qinyao-he / bit-rnn
  Quantize weights and activations in Recurrent Neural Networks.
  ☆95Updated 6 years ago
• mlcommons / inference_results_v0.5
  This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.
  ☆55Updated last year
• mlcommons / training_results_v0.6
  This repository contains the results and code for the MLPerf™ Training v0.6 benchmark.
  ☆42Updated last year
• raymond-li / tflite_tensor_outputter
  Generates intermediate tensor outputs for tflite
  ☆14Updated 5 years ago
• ZFTurbo / VGG16-Pretrained-C
  Pretrained VGG16 neural net in C language
  ☆47Updated 2 years ago
• yaysummeriscoming / BinaryNet_and_XNORNet
  Keras implementations of BinaryNet and XNORNet
  ☆56Updated 6 years ago
• uwsampl / tutorial
  A self-contained version of the tutorial which can be easily cloned and viewed by others.
  ☆26Updated 5 years ago
• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆39Updated 5 years ago
• XinDongol / DNNAC
  All about acceleration and compression of Deep Neural Networks
  ☆33Updated 4 years ago
• gpgpu-sim / pytorch-gpgpu-sim
  Modified version of PyTorch able to work with changes to GPGPU-Sim
  ☆44Updated last year
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆32Updated 5 years ago
• suvojit-0x55aa / mixed-precision-pytorch
  Training with FP16 weights in PyTorch
  ☆76Updated 5 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆169Updated 4 years ago
• brandontrabucco / lstm-cuda
  This is a c++ implementation of an LSTM Neural Network parallelized for a GPU using CUDA
  ☆23Updated 6 years ago
• zhenhuaw-me / tflite
  Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/
  ☆95Updated last year
• nlbutts / tflite_zynq
  Example code and instructions on getting Tensorflow Lite running on a Xilinx Zynq
  ☆49Updated 6 years ago
• rameezrehman83 / ENAS-Quantized-Neural-Networks
  Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.
  ☆9Updated 5 years ago