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age-estimation-pytorch

PyTorch-based CNN implementation for estimating age from face images

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

block-selection-for-ood-detection

delta_age_adain

DAA: A Delta Age AdaIN operation for age estimation via binary code transformer (CVPR2023)

generativecrb

This repository contains a python package that computes the Generative Cram'er-Rao Bound given a Conditional Normalizing Flow. In addition, this repository contains a set of four examples of various types of signal processing examples.

generativemisspecifiedlowerbound

geneticnas

The genetic neural architecture search (GeneticNAS) is a neural architecture search method that is based on genetic algorithm which utilized weight sharing across all candidate network.

github-template-guidelines

Guidelines for building GitHub templates.

interspeech-2023-papers

INTERSPEECH 2023 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!

md-gan

This repository contains PyTorch implementation of MD-GAN, along with training iPython notebook and trained models. Currently, this repository contains the training of data generated from a Gaussian mixture model (GMM). Two trained models included in this repository: the first one trained on data of a grid of 5 x 5 mixture of Gaussian and the second model trained on data of two mixture of Gaussian which are centered at -5 and 5.

model_optimization

The Model Compression Toolkit is an open-source project for neural network model optimization under efficient hardware constrained and provide advanced quantization and compression techniques.

noise_flow

Noise Flow: Noise Modeling with Conditional Normalizing Flows

normflowpy

A python package that implements a various types of normalizing flows.

opensense_sandbox

Collection of runable examples with software packages for processing opportunistic rainfall sensors

plotneuralnet

Latex code for making neural networks diagrams

py-research-utils

pydoatools

A simple library for theoretical research on direction-of-arrival (DOA) estimation in array signal processing.

pynncml

Library for rain estimation and detection built with PyTorch. This library provides an implementation of algorithms for extracting rain-rate using data from commercial microwave links (CMLs). Addinaly this project provide an example dataset with data from two CMLs and implementation of performance and robustness metrics

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

rainmapgenerator

RainGAN, a generative model that enables a generation of a realistic, complex rain field that is conditioned on user parameters such as max peak, number of peaks, etc.

sparserepresentation

training_school_opensene_2023

This repostory contains material for the OPENSENSE training school 2023 in Tel Aviv