Progressive Neural Architecture Search coupled with Binarized CNNs to search for resource efficient and accurate architectures.
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Updated
Oct 2, 2018 - Python
Progressive Neural Architecture Search coupled with Binarized CNNs to search for resource efficient and accurate architectures.
Contains code for Binary, Ternary, N-bit Quantized and Hybrid CNNs for low precision experiments.
Some recent Quantizing techniques on PyTorch
Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
Reproduction of "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization" for the Reproducibility challenge@NeurIPS19
This project involves training the game "Misere Tic Tac Toe" to the computer using Robust and Efficient Reinforcement Learning Techniques
My PhD thesis with all its source files, including all .tex files and images created, as well as the slides of my defense.
Introduce a Software Acceleration filter for Real Time Object Recognition with Binary Neural Network on FPGA
A simple deep neural net class written to work with Numpy and Cupy
Code implementation of our AISTATS'21 paper "Mirror Descent View for Neural Network Quantization"
BNN trained on Kannada MNIST
An implementation of the Binarized Neural Networks
Deep Learning Framework with a specialisation aimed for Binarized Neural Networks.
Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"
Binary classification between x-ray images with covid or pneumonia
Dimensionality Reduction in Images for Neural Networks.
The official repository for the paper LAB: Learnable Activation Binarizer for Binary Neural Networks.
Binarized Neural Network DoA estimation
Neural Property Approximate Quantifier
Tools and libraries to run neural networks in Minecraft ⛏️
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