ameygsocblog

I would be maintaining this blog as a part of my work during the Google Summer of Code Program and even further to provide updates on post-GSoC work, other open-source programs, and initiatives.

androidcpu

aws-codepipeline-s3-codedeploy-linux

Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html

azure-devops-pipelines

A sample repository to test out the working of Microsoft Azure DevOps pipelines

basic-dice

blue-green-canary-deployments-pipeline

campus_search

causalml

Uplift modeling and causal inference with machine learning algorithms

cdr-viz

cfcontestbot

cgm-gsoc2021

citrix-helm-charts

Citrix helm charts

citrix-k8s-ingress-controller

Citrix ADC (NetScaler) Ingress Controller for Kubernetes:

cognita

Cognita by TrueFoundry - Framework for building modular, open source RAG applications for production.

competitive-coding

Some tutorials and templates

course_material

Lecture slides and other course material

creative_paint

This repository contains all the coursework related to the CS346: Software Engineering course offered at IIT Guwahati. This is maintained by the Group 11.

cs-video-courses

List of Computer Science courses with video lectures.

cs204-iitg

This Repository contains the codes of Programming Exercises CS204 course at IITG

cs242-iitg

cs568_goldminers

This repository contains all the coursework related to the CS568: Data Mining elective course offered at IITGuwahati. This is maintained by the team GoldMiners

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

dedalus

A flexible framework for solving PDEs with modern spectral methods.

devblog-theme

DevBlog - Bootstrap 4 Blog Template For Developers

digit-recognition

diskann

Scalable graph based indices for approximate nearest neighbor search

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

explore-azure-pipelines

fastbook

The fastai book, published as Jupyter Notebooks