Kelvinyu1117 / LSQ-implementationLinks
This is an unofficial implementation of the paper - LEARNED STEP SIZE QUANTIZATION at ICLR 2020
☆8Updated 4 years ago
Alternatives and similar repositories for LSQ-implementation
Users that are interested in LSQ-implementation are comparing it to the libraries listed below
Sorting:
- AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.☆13Updated 3 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 4 years ago
- FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations☆94Updated 3 years ago
- Sparse CNN Accelerator targeting Intel FPGA☆12Updated 3 years ago
- CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices☆44Updated 5 years ago
- ☆28Updated 4 months ago
- bitfusion verilog implementation☆11Updated 3 years ago
- The goal of this design is to use the PYNQ-Z2 development board to design a general convolution neural network accelerator. And through r…☆11Updated 4 years ago
- The second place winner for DAC-SDC 2020☆97Updated 3 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆300Updated last year
- Reproducing Quantization paper PACT☆64Updated 3 years ago
- Open-source of MSD framework☆16Updated last year
- ☆14Updated 3 years ago
- ☆44Updated 2 years ago
- FPGA-based neural network inference project for 2020 DAC System Design Contest☆113Updated 4 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆137Updated 4 years ago
- Fast Emulation of Approximate DNN Accelerators in PyTorch☆24Updated last year
- Codes to implement MobileNet V2 in a FPGA☆27Updated 4 years ago
- ☆18Updated 2 years ago
- Quantized Training for Convolutional Neural Networks using Xilinx Brevitas☆12Updated 3 years ago
- LSQ+ or LSQplus☆70Updated 6 months ago
- A FPGA-based neural network inference accelerator, which won the third place in DAC-SDC☆28Updated 3 years ago
- Training and Implementation of a CNN for image classification with binary weights and activations on FPGA with HLS tools☆53Updated 7 years ago
- ☆19Updated 3 years ago
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆26Updated 2 years ago
- Arrhythmia Detection Using Algorithm and Hardware Co-design for Neural Network Inference Accelerators☆17Updated 2 years ago
- Low-Precision YOLO on PYNQ with FINN☆33Updated last year
- MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1☆34Updated last year
- PyTorch implementation for the APoT quantization (ICLR 2020)☆277Updated 8 months ago
- ☆16Updated 2 years ago