Name: Ayush Manish Agrawal
Type: User
Company: @Manifold-Computing
Bio: Machine Learning @ Microsoft
Researcher at Manifold Computing
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Research Interests:
- Interpretability
- Computer Vision
- Natural Language Processing
Twitter: AyushMAgr
Location: Vancouver, BC
Blog: https://ayushmagrawal.com
Ayush Manish Agrawal's Projects
A simple chrome extension that allows you to add new tasks from any tab in the browser.
My personal repository
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Basic shell written in C++
Code coverage measurement for Python
Creating an API to fetch the daily coding problems from my GMAIL account
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Programming assignments from Deep Learning Class (CSE496/896)
Motion imitation with deep reinforcement learning.
Project for Intro To Deep Learning Class. An agent that learns to do parkour using Reinforcement Learning Policies.
books
This repository contains all the implementation of different papers on Federated Learning
Federated Optimization in Heterogeneous Networks (MLSys '20)
Gives the differences with line numbers for two text files
I am trying to learn complete python and all advanced techniques. I will post all small projects I complete in this repository.
Simple program is used to generate graphs based on our output files from the model.
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.
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.
Fundamental Machine Learning Algorithms implemented from scratch. This is an on going repository and will be updated in future.
Portfolio of Ayush Manish Agrawal
An empirical study of Secure AI from the Udacity Course by Andrew Trask
A simple library created to understand the workings of different types of networks
A library for encrypted, privacy preserving machine learning
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch implementation of different architectures and papers
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Base template to get started with your PyTorch projects
Summaries of different Research Papers in the field of Artificial Intelligence
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.