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[Strategy] Initiative Name

This is a generic doc for any directional discussion. You can mold it to your use case (e.g. major eng initiative, team strategy, partnership alignment, etc)

Problem Context

Where are we today? Explain relevant context for the reader to understand the problem or opportunity you’re going after.

North Star

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PR 1-liner Title

Tl;dr:

[optional] 1-liner if the context of the change is long

Context:

Few sentences on the high level context for the change. Link to relevant design docs or discussion.

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[Postmortem] 1-liner title of what broke

You might not have all the answers for how we can do better next time. You can use this doc to structure retrospective discussions with your team.

Overview:

• What broke?
• Why did it break? What was the root cause?
• Who does the breakage affect? How severe was it?

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[Design Doc] Your Project Name

Design docs are a way to propose future work and get detailed technical feedback.

Problem Context

Brief description of what the problem or opportunity is. Give an overview of the domain and pain points. What is the current solution? Give some details about what its shortcomings are.

Proposed Solution

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# Assumes you've awk, jq, curl installed

calc() { awk "BEGIN{print $*}"; }
export PROPERTY_VALUE=1000000 
export LOAN_AMOUNT=`calc $PROPERTY_VALUE*0.8`
export PROPERTY_ZIP=94107

alias bankrate="curl 'https://mortgage-api.bankrate.com/rates/v4/?loanType=purchase&propertyValue=$PROPERTY_VALUE&propertyType=SingleFamily&propertyUse=PrimaryResidence&cashOutAmount=0&zipCode=$PROPERTY_ZIP&loanAmount=$LOAN_AMOUNT&creditScore=770&debtToIncomeRatio=0&pointsRange=Zero&productFamilies\[\]=conventional&loanTerms\[\]=30yr&loanTerms\[\]=7-1arm&loanTerms\[\]=7-6arm&loanTerms\[\]=10-1arm&loanTerms\[\]=10-6arm&defaultSearch=true&pid=br3&veteranStatus=NoMilitaryService&hadPriorVaLoan=false&hasVaDisabilities=false&firstTimeHomeBuyer=false&displayTargets\[\]=mobileRateTable&displayTargets\[\]=featuredRateTable&deviceTypes\[\]=mobile&e2eTestEnabled=false&clientId=MortgageRateTable&includeSponsored=true&includeEditorial=true'   -H 'authority: mortgage-api.bankrate.com'   -H 'accept: application/json, text/plain, */*'   -H 'accept

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!pip install cython==0.28.5
!pip install mmdet==2.10.0 requests
!pip install torch==1.7.0+cu110 torchvision==0.8.1+cu110 -f https://download.pytorch.org/whl/torch_stable.html
!pip install mmcv-full==1.2.7+torch1.7.0+cu110 -f https://openmmlab.oss-accelerate.aliyuncs.com/mmcv/dist/index.html
!pip install onnx onnxruntime onnxruntime-gpu onnxoptimizer 

!git clone --branch v2.10.0 https://github.com/open-mmlab/mmdetection.git

# Download conf and weights from
# https://github.com/iiLaurens/CascadeTabNet/blob/mmdet2x/Demo/Cascade_Tabnet_mmdet_v2_cpu_only_demo.ipynb

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# Execute this in a Jupyter notebook
import os
import json
import base64
import pandas as pd
from pprint import pprint


# Import USD 10B+, 1MM vol+, 25+ P/E, Buy/Strong Buy rated
buy_rated_tradingview = pd.read_csv('~/Downloads/america_2021-04-11.csv')

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Keybase proof

I hereby claim:

• I am pbamotra on github.
• I am benzene (https://keybase.io/benzene) on keybase.
• I have a public key ASCnWFSySbSBalyy4SCcjIzFTkb2gGmffCtnRewv0sLT2wo

To claim this, I am signing this object:

pbamotra

import datetime
import glob
from lxml import etree

import pandas as pd


def get_books(file):
    doc = etree.HTMLParser()
    tree = etree.parse(file, parser=doc)

pbamotra

Calendar: https://iclr.cc/virtual/calendar.html#tab-calendar
Paper search: https://iclr.cc/virtual/papers.html?filter=keywords

Papers:
1.  Title:
        Tree-Structured Attention with Hierarchical Accumulation
    Authority:
        Richard Socher
    Url:
        https://iclr.cc/virtual/poster_HJxK5pEYvr.html