[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
Homework for Graduate Deep Learning Course
Code repository for the paper Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations
MACHINE LEARNING AND DEEP LEARNING ENGG SKILLS
Check the effect of quantization on ResNets architecture
Exercises on HW acceleration of quantized neural networks for the course Integrated Systems Architecture at PoliTo
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.
In this project, we have implemented the VQ-VAE algorithm on both MNIST and CIFAR10 datasets considering MSELOSS and also NLLLOSE.
Training neural nets with quantized weights on arbitrarily specified bit-depth
Quantized training using Keras
Modeling stuck-at faults for RRAM inference on popular neural networks after quantization
Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"
Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.
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 AISTATS'21 paper "Mirror Descent View for Neural Network Quantization"
Input scripts for securely evaluating quantized ImageNet models with mp-spdz
a CSK serial based train tools, rely on pytorch
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