rishgoyal / FXPQuantCNNLinks
Code and Results for Master Thesis Project on Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded Platforms
☆12Updated 5 years ago
Alternatives and similar repositories for FXPQuantCNN
Users that are interested in FXPQuantCNN are comparing it to the libraries listed below
Sorting:
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- My name is Fang Biao. I'm currently pursuing my Master degree with the college of Computer Science and Engineering, Si Chuan University, …☆53Updated 3 years ago
- 关于深度学习算法、框架、编译器、加速器的一些理解☆17Updated 3 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆161Updated 5 years ago
- This repository contains the models and training scripts used in the papers: "Quantizing Spiking Neural Networks with Integers" (ICONS 20…☆13Updated 5 years ago
- Models and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).☆16Updated 4 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆56Updated 6 years ago
- This repository contains the results and code for the MLPerf™ Tiny Inference v0.7 benchmark.☆19Updated 2 years ago
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆32Updated 6 years ago
- Curated content for DNN approximation, acceleration ... with a focus on hardware accelerator and deployment☆27Updated last year
- [ICCAD'22 TinyML Contest] Efficient Heart Stroke Detection on Low-cost Microcontrollers☆15Updated 3 years ago
- CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices☆48Updated 5 years ago
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆25Updated 3 years ago
- Quantize,Pytorch,Vgg16,MobileNet☆44Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- DAC System Design Contest 2020☆29Updated 5 years ago
- ☆19Updated 3 weeks ago
- Quantize pytorch model, support post-training quantization and quantization aware training methods☆14Updated 2 years ago
- ☆28Updated 4 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆283Updated last year
- TQT's pytorch implementation.☆21Updated 4 years ago
- ☆35Updated 6 years ago
- Design some simple RISV-V cores via verilog and vivado. 复旦大学《计算机与智能处理器体系结构 AI Core and RISC Architecture》Projects☆15Updated 4 years ago
- Verilog Sigmoid and Tanh functions which can be configured and added to your neural network project☆16Updated 5 years ago
- Awesome Quantization Paper lists with Codes☆10Updated 4 years ago
- Fast NPU-aware Neural Architecture Search☆22Updated 4 years ago
- ☆35Updated 6 years ago
- A pytorch implementation of dorefa quantization☆113Updated 6 years ago
- Reproducing Quantization paper PACT☆65Updated 3 years ago
- HW/SW co-design of sentence-level energy optimizations for latency-aware multi-task NLP inference☆54Updated last year