A repository of links with advice related to grad school applications, research, phd etc

Related tags

Documentationadvice
Overview

Advice

A repository of links with advice related to grad school applications, research, phd etc related to (usually but not always) CS, NLP, and ML. Some resources may be sourced from one of the other resource links. Note - this is merely a repository, and I do not necessarily endorse or subscribe to every piece of advice.

Contributing

If you come across posts/tweet-threads/blogs/podcasts that belong here, feel free to create a pull request.

Table of Contents

Applications

Note: A lot of the advice might be geared towards PhD, but people applying to MS programs, RAs, short-term interns etc. might find a lot of it still very helpful.

General

MS Specific

Applying to Predoctoral programs

ToDo PhD or Not / What doing a PhD entails

Selecting Schools and Advisors

After getting admits

Reaching out to prospective advisors

SOP

Examples

LoRs

CV

Examples

Interview preparation

Misc

List of lists

Most of the links in these lists will appear in the rest of the list otherwise anyway.

Research

For grad students

Helpful for early(or all) stage researchers in general

Research ideas

Writing

Papers

Proposals

Reviewing

Rebutting

Reading

Literature Surveying

Publishing and Conferences

Publicising

Advisor-Advisee Dynamics

Research Internships

Networking

Talks/Presentations

Productivity

Impostor's syndrome

List of Lists

Owner
Shaily Bhatt
Pre-Doctoral Researcher @google-research India| Prev - Microsoft Research India, Arcesium, BITS Pilani | NLP, AI for Social Good
Shaily Bhatt
Pydocstringformatter - A tool to automatically format Python docstrings that tries to follow recommendations from PEP 8 and PEP 257.

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JTEX is a command line tool (CLI) for rendering LaTeX documents from jinja-style templates.

JTEX JTEX is a command line tool (CLI) for rendering LaTeX documents from jinja-style templates. This package uses Jinja2 as the template engine with

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Generate modern Python clients from OpenAPI

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Service for visualisation of high dimensional for hydrosphere

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Material for the ros2 crash course

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