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100-days-of-ml-code

100 Days of ML Coding

7-methods-to-perform-time-series-forecasting-with-python-codes-

adminlte

AdminLTE - Free admin dashboard template based on Bootstrap 4

ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

ai_notes

machine learning/artificial intelligence notes

algorithms

Minimal examples of data structures and algorithms in Python

algorithmvisualizer

Algorithm Visualizer

amazon-tracker

This app lets you get a notification to your Gmail if your desired products get discount and gets into your budget.

angular-material-network-monitor

Network monitor service for Angular 8 using Angular Material, RxJs and ng-connection-service package

angularspree

angular e-commerce framework for online store

animate.css

A cross-browser library of CSS animations. As easy to use as an easy thing.

aquarius

All UX is knowledge based

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

artificial-intelligence-reference

attendace_management_system

In this system we can fill attendance by face recognition

autocaptcha-for-irctc

Fills in the captcha for you at irctc.co.in

automated-job-resume-matching-solution

According to a 2015 study on job seeking behavior by Pew Research Center, 79% of the job seekers utilized the online resources for their most recent employment (Aaron ,2015). This study result suggests that the online job boards become the major channel for job seekers in the digital era. However, another finding in the study indicates that most of the job seekers fail to match their experiences with the job requirements and spend hours on job board to apply job which is not seen to be suitable (Aaron, 2015). Additionally, Dr. John Sullivan conducted a similar research in 2013 which highlighted some interesting aspects: on average, 250 resumes are received for each job opening by the major organizations, more than 50% of the resumes does not meet the minimum requirement (John, 2013). This means the time our recruiter spends on these 50% of the resumes for each job is wasted. From both candidate and recruiter’s points of view, the phenomenon may suggest that the traditional online job board does not seem to simplify the job application process or reduce the effort required from both parties. With this challenge getting bigger and bigger, the demand to automate the resume - job matching process is getting increased as well. For instance, the content - based recommendation system (CBR) is introduced to analyze the job description to identify the potential area of interest to the job seekers (Shiqiang et al., 2016). To apply the concept in Singapore local context, our team has conducted a text mining project based on the data acquired from the major online job board in Singapore. The primary objective of this project is to create a machine learning model to accelerate the job - resume matching process. The detail of the text mining methodology and results are presented in the following sections.

automated-machine-learning

All AutoML Libraries

automated-resume-parser

Resume parser which divides the resume into multiple sections and post-cleaning and processing of every section, the relevant information is extracted and stored in a structured JSON format in MongoDB. The profiles are then ranked based on a specified Job description(JD). Relevant profiles come up based on the details in the JD.

automated-resume-screening-system

awesome

A curated list of awesome lists

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-jquery

A curated list of awesome jQuery plugins, resources and other shiny things.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-machine-learning-python

Machine and Deep Learning in Python

awesome-mobile-machine-learning

A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.

awesome-python-books

:books: Directory of Python books