Gaurav Menghani

A Bloom Filter Implementation in Go

Efficient Deep Learning Survey Paper

My scripts for setting up a new machine

Repository of my blog

Experiments in Efficient AI.

A simple implementation of the packed memory array

Repo for gaurav.ai

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

History Independent Hash Table in C++

No description provided.

A Lisp dialect written in Golang

Network acceleration methods

A playbook for systematically maximizing the performance of deep learning models.

Fork of Sayak's work on DeIT.

In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.

A very naive classifier to figure out if a sentence contains dirty words

No description provided.

Collection of recent methods on DNN compression and acceleration

Collection of quick notes about topics that I find interesting. Mostly theory.

Interesting colabs that help with learning concepts related to ML.

Convert Apple NeuralHash model for CSAM Detection to ONNX.

Skip List in JavaScript

Summary, Code for Deep Neural Network Quantization

Papers for deep neural network compression and acceleration

No description provided.

Repository to track the progress in model compression and acceleration

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

a list of awesome papers on deep model ompression and acceleration

Awesome machine learning model compression research papers, tools, and learning material.

papers about model compression