penpaperkeycode / nnq_cnd_studyLinks
nnq_cnd_study stands for Neural Network Quantization & Compact Networks Design Study
☆13Updated 5 years ago
Alternatives and similar repositories for nnq_cnd_study
Users that are interested in nnq_cnd_study are comparing it to the libraries listed below
Sorting:
- Neural Network Acceleration using CPU/GPU, ASIC, FPGA☆63Updated 5 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- ☆48Updated 3 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 years ago
- DNN quantization with outlier channel splitting (ICML'19)☆113Updated 5 years ago
- Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.☆14Updated 7 years ago
- Study Group of Deep Learning Compiler☆164Updated 2 years ago
- FrostNet: Towards Quantization-Aware Network Architecture Search☆105Updated last year
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- ☆66Updated 5 years ago
- DL quantization for pytorch☆26Updated 6 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- Tutorials on Quantized Neural Network using Tensorflow Lite☆87Updated 6 years ago
- Quantization of Convolutional Neural networks.☆243Updated last year
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 6 years ago
- Neural Network Acceleration such as ASIC, FPGA, GPU, and PIM☆53Updated 5 years ago
- ☆214Updated 6 years ago
- ☆36Updated 6 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 3 years ago
- ☆57Updated 4 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated 2 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆156Updated last year
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 3 years ago
- Pytorch version for weight pruning for Murata Group's CREST project☆57Updated 7 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆147Updated 7 years ago
- Repository containing pruned models and related information☆37Updated 4 years ago
- This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.☆55Updated 2 months ago
- ☆35Updated 6 years ago