rahimentezari

PermutationInvariance

DataDistributionTransferLearning

Sensys-ml2020

This repository contains the code for our paper "Class-dependent Pruning of Neural Networks" in The second Workshop on Machine Learning on Edge in Sensor Systems (SenSys-ML), CPS-IoT Week 2020

AppliedDeepLearningCourse

This is for my course in TU Wien in Winter 2019

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-model-compression

papers about model compression

Awesome-Pruning

A curated list of neural network pruning resources.

CBIG

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

EdgeML

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

EfficientDNNs

Collection of recent methods on DNN compression and acceleration

embedded_machine_learning

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

imagenette

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

interpretability-in-neural-networks

Compare traditional neural networks with self explaining neural networks in terms of performance and interpretability.

LC-model-compression

Model compression by constrained optimization, using the Learning-Compression (LC) algorithm

mobile_computing_lab

model-optimization

A suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.

mohammadpz-github.io

open_clip

An open source implementation of CLIP.

open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

PhD

rahim2.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

rahimentezari.github.io

shrinkbench

PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.

Trigger-Word-Detection

Construct a speech dataset and implement an algorithm for trigger word detection (sometimes also called keyword detection, or wakeword detection).

triton-transformer

Implementation of a Transformer, but completely in Triton

understanding-transfer-learning

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities