[WIP] PyTorch bindings for cublasLt with an example of quantized i8f16 MLP
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Updated
Aug 23, 2023
[WIP] PyTorch bindings for cublasLt with an example of quantized i8f16 MLP
Modeling stuck-at faults for RRAM inference on popular neural networks after quantization
Exercises on HW acceleration of quantized neural networks for the course Integrated Systems Architecture at PoliTo
Code implementation of our AISTATS'21 paper "Mirror Descent View for Neural Network Quantization"
Homework for Graduate Deep Learning Course
A python-based utility to convert a grayscale image into verilog code.
Artifact for SC21: APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores.
Quantized training using Keras
Code repository for the paper Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations
In this project, we have implemented the VQ-VAE algorithm on both MNIST and CIFAR10 datasets considering MSELOSS and also NLLLOSE.
MACHINE LEARNING AND DEEP LEARNING ENGG SKILLS
Check the effect of quantization on ResNets architecture
Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.
Training neural nets with quantized weights on arbitrarily specified bit-depth
Slides with modifications for a course at Tsinghua University.
Mobilenet v1 (3,160,160, alpha=0.25, and 3,192,192, alpha=0.5) on STM32H7 using X-CUBE-AI v4.1.0
Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"
This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.
Input scripts for securely evaluating quantized ImageNet models with mp-spdz
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