iamvazu's Projects
Cryptocurrency trading bot in javascript for Bitfinex, Bitmex, Binance ... (public edition)
Python Dash app that tracks whale activity in cryptocurrency markets.
Application that predicts cryptocurrency price changes and provides financial recommendations using Machine Learning models.
High(ish) frequency trading bot for cryptocurrencies, using Machine Learning for future price predictions
A set of icons for all the main cryptocurrencies and altcoins, in a range of styles and sizes.
Google Sheet's automatic creation with Google Apps Script (GAS) for a Cryptocurrency Portfolio
Portfolio Overview Tool for Your CryptoCoin Capitalization-Weighted Portfolio.
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
Curated collection of blockchain & cryptocurrency resources.
Course codes for CS303 Artificial Intelligence in SUSTech, fall 2017
CSC412ClassProject - Fall 2018
Datasets
Cracking the Coding Interview 6th Ed. Solutions
Automated Cyber Offense
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.
List of valuable resources for learning to develop dapps on the Ethereum blockchain and beyond
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
🎁 2,000,000+ Unsplash images made available for research and machine learning
Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.
Little script to easily switch a website in night mode or day mode using CSS alternate themes.
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
Deep Learning Papers on Medical Image Analysis
Stock for Deep Learning and Machine Learning
Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
Source code for the blog post on the evolution of the asset allocation methods
Trading Bitcoin with Deep Reinforcement Learning
Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks