All Projects → AakashKumarNain → annotated_research_papers

AakashKumarNain / annotated_research_papers

Licence: MIT License
This repo contains annotated research papers that I found really good and useful

Projects that are alternatives of or similar to annotated research papers

Qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
Stars: ✭ 7,582 (+260.88%)
Mutual labels:  research, research-paper
UAV-Stereo-Vision
A program for controlling a micro-UAV for obstacle detection and collision avoidance using disparity mapping
Stars: ✭ 30 (-98.57%)
Mutual labels:  research, research-paper
minionn
Privacy -preserving Neural Networks
Stars: ✭ 58 (-97.24%)
Mutual labels:  research, research-paper
best AI papers 2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
Stars: ✭ 2,740 (+30.41%)
Mutual labels:  research, research-paper
linkedresearch.org
🌐 linkedresearch.org
Stars: ✭ 32 (-98.48%)
Mutual labels:  research, annotations
PhD
My PhD Papers and Presentations
Stars: ✭ 24 (-98.86%)
Mutual labels:  research, research-paper
memo
Android processing and secured library for managing SharedPreferences as key-value elements efficiently and structurally.
Stars: ✭ 18 (-99.14%)
Mutual labels:  annotations
tiptoft
Predict plasmids from uncorrected long read data
Stars: ✭ 27 (-98.71%)
Mutual labels:  research
WinAnalytics
A light-weight android library that can be quickly integrated into any app to use analytics tools.
Stars: ✭ 23 (-98.91%)
Mutual labels:  annotations
cps-twinning
A Framework for Generating and Executing Digital Twins
Stars: ✭ 32 (-98.48%)
Mutual labels:  research
the schema is
ActiveRecord schema annotations done right
Stars: ✭ 44 (-97.91%)
Mutual labels:  annotations
CodeAndQuestsEveryDay
Regular research on the Quest for developers.
Stars: ✭ 27 (-98.71%)
Mutual labels:  research
letter-2-reviewers-LaTeX-template
A LaTeX template to write response letters for journal revisions
Stars: ✭ 32 (-98.48%)
Mutual labels:  research-paper
hardware-attacks-state-of-the-art
Microarchitectural exploitation and other hardware attacks.
Stars: ✭ 29 (-98.62%)
Mutual labels:  research
libshift0
Implementation of delimited control for C/C++
Stars: ✭ 19 (-99.1%)
Mutual labels:  research
Whitecomet-Research
Research on malware creation and protection
Stars: ✭ 62 (-97.05%)
Mutual labels:  research
23andme2vcf
convert your 23andme raw file to VCF | DEPRECATED, please see https://github.com/plantimals/2vcf
Stars: ✭ 91 (-95.67%)
Mutual labels:  annotations
pandas-stubs
Pandas type stubs. Helps you type-check your code.
Stars: ✭ 84 (-96%)
Mutual labels:  annotations
grenade
[DEPRECATED] Annotation based intent builder for Android activities and services
Stars: ✭ 28 (-98.67%)
Mutual labels:  annotations
uspto-opendata-python
A client library for accessing the USPTO Open Data APIs, written in Python.
Stars: ✭ 51 (-97.57%)
Mutual labels:  research

Update: If you like a web version, you can visit Papers Pro This was built using the exceptional open-source H2O Wave framework in a few days. Check it out if you want to build apps for your ML projects in pure Python!

Annotate Research Papers

Alt Text

Why annotated papers?

Do you love reading research papers? Or do you find reading papers intimidating? Or are you looking for annotated research papers that are much easier to understand?

If you are in any of the categories listed above, then you have arrived at the right place. I spend a lot of time reading papers. It is a crucial part of my ML work. If you want to do research or you want to be a better ML engineer, then you should read papers. This habit of reading papers will help you to remain updated with the field.

Note: I am a pen-paper guy. Nothing beats that pen-paper reading experience, but in the ongoing scenarios (pandemic, lockdown, etc.), I am not able to print the papers. Taking this as an opportunity to share my thought process, I will be sharing the annotated research papers in this repo. The order of the papers won't strictly be according to the timeline on arXiv. Sometimes I put a paper on hold and read it after a while.

PS: I cannot annotate all the papers I read, but if I liked one, then that will be uploaded here. Also, there will be blog posts for a few research papers that are really important.

Table of Contents

Note: Updates are being made to this table

Field Category Annotated Paper
Computer Vision Adaptive Risk Minimization Abstract
Axial DeepLab Code Abstract
ConvNext Code Abstract
EfficientNetsV2 Code Abstract
Supervised Flow-edge Guided Video Completion Code Abstract
Is Batch Norm Unique? Abstract
RandConv Code Abstract
Scaling Down Deep Learning Code Abstract
Supervised Contrastive Learning Code Abstract
Vision Transformer Code Abstract
Are all negatives created equal in contrastive instance discrimination? Abstract
Towards Domain-Agnostic Contrastive Learning Abstract
Self-Supervised Emerging Properties in Self-Supervised Vision Transformers Code Abstract
Masked Autoencoders Code Abstract
Swav Code Abstract
What Should Not Be Contrastive in Contrastive Learning Abstract
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].