Ayush Manish Agrawal (ayushm-agrawal)

ayushm-agrawal

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Company:@Manifold-Computing

Location:Vancouver, BC

Home Page:https://ayushmagrawal.com

Twitter:@AyushMAgr

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Ayush Manish Agrawal's repositories

Federated-Learning-Implementations

This repository contains all the implementation of different papers on Federated Learning

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research_papers_summarized

Summaries of different Research Papers in the field of Artificial Intelligence

DeepParkour

Project for Intro To Deep Learning Class. An agent that learns to do parkour using Reinforcement Learning Policies.

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HuskerEats

This android application was started at Cornhacks 19'. We created a platform to allow students to get meals delivered by other students from around the campus by creating a trade off system.

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pytorch-template-project

Base template to get started with your PyTorch projects

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Anywhere-To-Do

A simple chrome extension that allows you to add new tasks from any tab in the browser.

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ayushm-agrawal

My personal repository

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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ml-algorithms-numpy

Fundamental Machine Learning Algorithms implemented from scratch. This is an on going repository and will be updated in future.

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coveragepy

Code coverage measurement for Python

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daily_coding_problem_api

Creating an API to fetch the daily coding problems from my GMAIL account

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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DeepLearningHomeworks

Programming assignments from Deep Learning Class (CSE496/896)

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DeepMimic

Motion imitation with deep reinforcement learning.

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FedProx

Federated Optimization in Heterogeneous Networks (MLSys '20)

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Flappy_Bird_PyGame

I am trying to learn complete python and all advanced techniques. I will post all small projects I complete in this repository.

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generate-model-graph

Simple program is used to generate graphs based on our output files from the model.

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Lottery-Ticket-Hypothesis-in-Pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

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personal-portfolio

Portfolio of Ayush Manish Agrawal

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Private_And_Secure_AI

An empirical study of Secure AI from the Udacity Course by Andrew Trask

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PySaber

A simple library created to understand the workings of different types of networks

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PySyft

A library for encrypted, privacy preserving machine learning

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-experiments

PyTorch implementation of different architectures and papers

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pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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Software_Dev_Projects

This repository contains all the software development projects that I have started and worked on during my bachelor's degree. Feel free to add any issues or pick up any of these projects.

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song_recommendation_system

A basic song recommendation system based on user likes of a song and acoustic features of the song

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WIMTA

This project was started during Cornhacks 2018

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