Name: Gaurav Menghani
Type: User
Company: Google Research
Bio: Interested in ML, Algos, Distributed Systems, and, Compilers. Love to work on self-sufficient toy projects in my free time.
Eng @ Google Research
Location: Mountain View, California
Blog: http://blog.gaurav.ai
Gaurav Menghani's Projects
Solving them once and for all.
Convert Apple NeuralHash model for CSAM Detection to ONNX.
ASKBOT is a StackOverflow-like Q&A forum, based on CNPROG.
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.
In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.
Summary, Code for Deep Neural Network Quantization
Awesome machine learning model compression research papers, tools, and learning material.
papers about model compression
a list of awesome papers on deep model ompression and acceleration
Repository of my blog
A Bloom Filter Implementation in Go
A Brainf**k interpreter written in Ruby for fun.
Sources for the cacheoblivious.com blog
Implementing Cardinality Testing
My hand-written C++ ML Library
Implementing Char-RNN with Tensorflow
My solutions for CodeSprint 2
Homeworks from cs231n
Compilers Class
CSE506 Code
Code from CSE533 of Fall 2012
CSE549 Homework
Coding with Cilk++
cse638 hw and project
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Fork of Sayak's work on DeIT.
My simplistic vim setup
Related Paper of Efficient Deep Neural Networks
Efficient Deep Learning Survey Paper