Ayush Manish Agrawal's repositories
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.
personal-portfolio
Portfolio of Ayush Manish Agrawal
ayushm-agrawal
My personal repository
PySaber
A simple library created to understand the workings of different types of networks
pytorch-template-project
Base template to get started with your PyTorch projects
coveragepy
Code coverage measurement for Python
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
research_papers_summarized
Summaries of different Research Papers in the field of Artificial Intelligence
Federated-Learning-Implementations
This repository contains all the implementation of different papers on Federated Learning
FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
Private_And_Secure_AI
An empirical study of Secure AI from the Udacity Course by Andrew Trask
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-experiments
PyTorch implementation of different architectures and papers
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.
ml-algorithms-numpy
Fundamental Machine Learning Algorithms implemented from scratch. This is an on going repository and will be updated in future.
PySyft
A library for encrypted, privacy preserving machine learning
daily_coding_problem_api
Creating an API to fetch the daily coding problems from my GMAIL account
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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.
Anywhere-To-Do
A simple chrome extension that allows you to add new tasks from any tab in the browser.
DeepParkour
Project for Intro To Deep Learning Class. An agent that learns to do parkour using Reinforcement Learning Policies.
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
DeepLearningHomeworks
Programming assignments from Deep Learning Class (CSE496/896)
generate-model-graph
Simple program is used to generate graphs based on our output files from the model.
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.
DeepMimic
Motion imitation with deep reinforcement learning.
song_recommendation_system
A basic song recommendation system based on user likes of a song and acoustic features of the song
WIMTA
This project was started during Cornhacks 2018