Amey Varhade (yemaedahrav)

yemaedahrav

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Company:@microsoft

Location:Bangalore

Twitter:@ameyvarhade

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Amey Varhade's repositories

Machine_Learning_for_Turbulent_Fluid_Dynamics

This repository consists of the work done as a student developer, during the Google Summer of Code (GSoC) 2021 program. The project, Machine Learning for Turbulent Fluid Dynamics is a part of the Turbulent suborganization under the Machine Learning for Science (ML4SCI) umbrella organization.

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Interview-Helper

This repository contains the code for the live code sharing and video chat platform which is useful for interviews

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al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

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causalml

Uplift modeling and causal inference with machine learning algorithms

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cognita

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

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Course_Material

Lecture slides and other course material

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cs-video-courses

List of Computer Science courses with video lectures.

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DiskANN

Scalable graph based indices for approximate nearest neighbor search

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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.

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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.

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GitHubGraduation-2022

Join the GitHub Graduation Yearbook and "walk the stage" on June 11.

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instructlab

InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.

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llm-attacks

Universal and Transferable Attacks on Aligned Language Models

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OMRChecker

Grade exams fast and accurately using a scanner 🖨 or your phone 🤳.

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PINN

This repository contains the implementations of PINNs for a few standard equations and related work/discussion

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Probe-Sampling

Code of paper "Accelerating Greedy Coordinate Gradient via Probe Sampling"

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Quant

Resources for quantitative finance

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rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

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Software-Engineering-Lab

This repository contains the work done for the CS346 Software Engineering Laboratory Course.

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The-Complete-FAANG-Preparation

This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

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transformer-physics

How do transformers model physics? Just like we do!

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