Aditya Vyas's repositories
Machine-Learning-and-Data-Science
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.
freqtrade-websocket
Using python-binance to provide websocket data to freqtrade
hummingbot
Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain
Kaggle-Competitions
Team collaboration for Kaggle competitions !
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
scikit-learn
scikit-learn: machine learning in Python
analytic_shrinkage
Non-Linear Covariance Shrinkage
electron.atom.io
Electron website
Github-Workshop
This repository contains the slides for the workshop I conducted on Github and Git at Rutgers University as a Graduate Data Specialist.
helm-charts
Helm charts for deploying SDF maintained software
hmfaysal-omega-theme
HMFAYSAL OMEGA is a minimalist, beautiful, responsive theme for Jekyll designed for writers who want their content to take front and center.
Open-Science-Workshop
Data files for the open science workshop in Rutgers
pdfplumber
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
Pruning-Neural-Networks-using-Tensorflow
A repository containing tensorflow code for pruning neural networks with some analysis and conclusions.
quickstart
Home of the stellar/quickstart docker image for development and testing
soroban-rpc
RPC server for Soroban contracts.
soroban-tools
CLI and RPC Server for Soroban Contracts.
stellar-core
stellar-core is the reference implementation for the peer to peer agent that manages the Stellar network
stellar-docs
Documentation for Stellar