Alternatives and similar repositories for nnq_cnd_study:

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

• ConstantPark / Neural-Network-Acceleration-2
  Neural Network Acceleration using CPU/GPU, ASIC, FPGA
  ☆60Updated 4 years ago
• quettabit / convolution_kernel
  Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.
  ☆14Updated 7 years ago
• EunhyeokPark / PROFIT
  ☆47Updated 3 years ago
• clovaai / frostnet
  FrostNet: Towards Quantization-Aware Network Architecture Search
  ☆107Updated 10 months ago
• wjc852456 / pytorch-quant
  DL quantization for pytorch
  ☆26Updated 6 years ago
• ConstantPark / Nerual-Network-Acceleration-1
  Neural Network Acceleration such as ASIC, FPGA, GPU, and PIM
  ☆51Updated 4 years ago
• mrusci / training-mixed-precision-quantized-networks
  This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…
  ☆49Updated 10 months ago
• submission2019 / AnalyticalScaleForIntegerQuantization
  Example for applying Gaussian and Laplace clipping on activations of CNN.
  ☆34Updated 6 years ago
• xu3kev / neural-networks-quantization-notes
  ☆67Updated 5 years ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆41Updated 6 years ago
• ynahshan / nn-quantization-pytorch
  ☆56Updated 4 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆112Updated 5 years ago
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆31Updated 5 years ago
• eladhoffer / quantized.pytorch
  ☆213Updated 6 years ago
• ConstantPark / Neural-Network-Acceleration-3
  ☆12Updated 4 years ago
• mlcommons / inference_results_v0.5
  This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.
  ☆55Updated last year
• DeGirum / pruned-models
  Repository containing pruned models and related information
  ☆37Updated 4 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• hpnair / 18663_Project_FBNet
  Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
  ☆34Updated 5 years ago
• max2ma / shiftNet
  ☆14Updated 5 years ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆167Updated 5 years ago
• xyzxinyizhang / 2019-DAC-System-Design-Contest
  ☆35Updated 5 years ago
• cap-lab / S3NAS
  Fast NPU-aware Neural Architecture Search
  ☆22Updated 3 years ago
• cooooorn / Pytorch-XNOR-Net
  XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.
  ☆85Updated 5 years ago
• limenghao / AdaTune
  This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).
  ☆13Updated 3 years ago
• XinDongol / BENN-PyTorch
  Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
  ☆31Updated 5 years ago
• ConstantPark / DL_Compiler
  Study Group of Deep Learning Compiler
  ☆157Updated 2 years ago
• deep-fry / mayo
  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
  ☆114Updated 5 years ago
• Edgecortix-Inc / pytorch_quantization
  Test scripts for exploring PyTorch JIT and quantization capability
  ☆12Updated 4 years ago