accssharma Goto Github PK

ashishflaskblog

Complete Replication of Flask Tutorial

blog-tutorials

Code tutorials used in my blogs.

boostnote

A markdown editor for developers on Mac, Windows and Linux.

bootstrap-compile

Instructions to compile twitter bootstrap from source.

caffe

Caffe: a fast open framework for deep learning.

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

dataset

The Open Images dataset

dotfiles

My personal dotfiles.

emacs.d

An Emacs configuration bundle with batteries included

fhir

FHIR Protocol Buffers

gitignore

A collection of useful .gitignore templates

healthcare

hisab

Simple tool for settling up shared expenses with roommates

lastpass-cli

LastPass command line interface tool

learn-golang

golang: Hello World!

linux

Linux kernel source tree

markdown

A Python implementation of John Gruber’s Markdown with Extension support.

medicare_locator

🏥Medicare Locator - Open source starter pack for developers to build contextual chatbots and AI assistants in healthcare

neuronaldynamics-exercises

Python exercises accompanying the book "Neuronal Dynamics"

psycopg2

PostgreSQL database adapter for the Python programming language

pypi-bootstrap

Simple tool to generate pypi bootstrapping package file structure.

pypiserver

Minimal PyPI server for uploading & downloading packages with pip/easy_install

sampleproject

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

serving

A flexible, high-performance serving system for machine learning models

spark

Mirror of Apache Spark

starter-pack-rasa-stack

🎒Everything you need to build your first contextual chatbot with the open source Rasa Stack - includes files and training data

styleguide

Style guides for Google-originated open-source projects

swdb_2019

Repository for course materials for the Summer Workshop on the Dynamic Brain 2019

talks-tutorials

Miscalleneous resources from my talks and presentations

tensorflow

Computation using data flow graphs for scalable machine learning