Rohit Nagraj (RohitNagraj)

RohitNagraj

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Company:University of Southern California

Location:Los Angeles, CA, USA

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Rohit Nagraj's starred repositories

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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Python

All Algorithms implemented in Python

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openai-cookbook

Examples and guides for using the OpenAI API

starship

☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!

DeepSpeed

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

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tuning_playbook

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

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Language:PythonLicense:MITStargazers:23631Issues:938Issues:70

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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detr

End-to-End Object Detection with Transformers

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pifuhd

High-Resolution 3D Human Digitization from A Single Image.

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DensePose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

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learning

A log of things I'm learning

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text-to-handwriting

So your teacher asked you to upload written assignments? Hate writing assigments? This tool will help you convert your text to handwriting xD

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hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

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honkit

:book: HonKit is building beautiful books using Markdown - Fork of GitBook

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computational-thinking

Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

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stats-illustrations

R & stats illustrations by @allison_horst

ILearnDeepLearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

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BLINK

Entity Linker solution

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learn-julia-the-hard-way

Learn Julia the hard way!

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xcit

Official code Cross-Covariance Image Transformer (XCiT)

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nvidia-auto-installer-for-fedora-linux

A CLI tool which lets you install proprietary NVIDIA drivers and much more easily on Fedora Linux (32 or above and Rawhide)

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lookahead_pytorch

pytorch implement of Lookahead Optimizer

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hyperspectral_deeplearning_review

Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

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MONeT

MONeT framework for reducing memory consumption of DNN training

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FVI_CV

Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020

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MobileBert_PyTorch

MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices

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AI-for-Web-Accessibility

This is the GitHub repository for my Masters dissertation titled: Artificial Intelligence for Web Accessibility which I completed as a part of my MSc in Data Science course in the University of Southampton, UK under the supervision of Prof. Mike Wald

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