reddragon
Interested in ML, Algorithms, Distributed Systems and, Compilers. Love to work on self-sufficient toy projects in my free time. Eng @ Google Research
Google ResearchMountain View, California
Pinned Repositories
bloomfilter.go
A Bloom Filter Implementation in Go
efficient-dl-survey-paper
Efficient Deep Learning Survey Paper
elixir
A fortune-cookie server which exposes an API to get random quotes.
Grid-Computing-Framework
is-dirty
A very naive classifier to figure out if a sentence contains dirty words
lambda
A Lisp dialect written in Golang
lambda-iOS
A subset of Lisp as an app on iOS
Online-Grading-System
A programming contest online judge. Originally written by Arijit De, modified by me in 2009 for TSEC Coding League, by adding the option of 'Leagues'
packed-memory-array
A simple implementation of the packed memory array
skiplist-js
Skip List in JavaScript
reddragon's Repositories
reddragon/bloomfilter.go
A Bloom Filter Implementation in Go
reddragon/efficient-dl-survey-paper
Efficient Deep Learning Survey Paper
reddragon/cse638
cse638 hw and project
reddragon/EfficientDNNs
Collection of recent methods on DNN compression and acceleration
reddragon/genome-compression
Genome Compression Project
reddragon/ML-Notes
Collection of quick notes about topics that I find interesting. Mostly theory.
reddragon/Network-Speed-and-Compression
Network acceleration methods
reddragon/AppleNeuralHash2ONNX
Convert Apple NeuralHash model for CSAM Detection to ONNX.
reddragon/awesome-AutoML-and-Lightweight-Models
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.
reddragon/awesome-deep-learning-survey-papers
In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.
reddragon/Awesome-Deep-Neural-Network-Compression
Summary, Code for Deep Neural Network Quantization
reddragon/awesome-ml-model-compression
Awesome machine learning model compression research papers, tools, and learning material.
reddragon/awesome-model-compression
papers about model compression
reddragon/awesome-model-compression-and-acceleration
a list of awesome papers on deep model ompression and acceleration
reddragon/Awesome-model-compression-and-acceleration-1
reddragon/blog.gaurav.im
Repository of my blog
reddragon/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
reddragon/deit-tf
Fork of Sayak's work on DeIT.
reddragon/DenseFormer
reddragon/Efficient-Deep-Learning-Papers
Related Paper of Efficient Deep Neural Networks
reddragon/fashion-mnist
Fashion MNIST gzipped, which keeps Tensorflow happy.
reddragon/flowers
An app to demonstrate Image Classification with TFLite.
reddragon/keras-tuner
Hyperparameter tuning for humans
reddragon/ml-colabs
Interesting colabs that help with learning concepts related to ML.
reddragon/model-compression-and-acceleration-progress
Repository to track the progress in model compression and acceleration
reddragon/Model-Compression-Papers
Papers for deep neural network compression and acceleration
reddragon/new-machine-setup
My scripts for setting up a new machine
reddragon/OpenAI-RL-Challenges
Solving some of OpenAI Gym's RL Challenges
reddragon/pv_paper_ckpts
Temporary home for the PV paper checkpoints.
reddragon/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.