kayaademogullari Goto Github PK

angular-s3-upload

AngularJS To S3 Upload Demo Application

async

Async utilities for node and the browser

awesome-deep-learning-papers

The most cited deep learning papers

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

aws-cognito-java-desktop-app

Sample Java Desktop App with Cognito User Pools

aws-doc-sdk-examples

Code examples used in the official AWS SDK documentation.

aws-js-s3-explorer

AWS JavaScript S3 Explorer is a JavaScript application that uses AWS's JavaScript SDK and S3 APIs to make the contents of an S3 bucket easy to browse via a web browser.

backtrader

Python Backtesting library for trading strategies

binance-trader

💰 Cryptocurrency Trading Bot for Binance (Experimental)

brain.js

🤖 Neural networks in JavaScript

ciml

A Course in Machine Learning

cloudexplorer

Cloud Explorer

crypto-signal

Automated Crypto Trading & Technical Analysis (TA) Bot for Bittrex, Binance, GDAX, and more! (250+ coins)

deep-learning-machine-learning-stock

Stock for Deep Learning and Machine Learning

diveintopython3

[Mirror] Dive Into Python 3 online book

final-year-project

Stock Market Predictor

finanalyzer

Tool for technical analysis of financial data about companies indexed on the stockmarket using machine learning

gym

A toolkit for developing and comparing reinforcement learning algorithms.

jquery-file-upload

File Upload widget with multiple file selection, drag&drop support, progress bar, validation and preview images, audio and video for jQuery. Supports cross-domain, chunked and resumable file uploads. Works with any server-side platform (Google App Engine, PHP, Python, Ruby on Rails, Java, etc.) that supports standard HTML form file uploads.

jstock

JStock is a free stock market software for 28 countries.

kayaademogullari.github.io

machine_learning_for_the_web

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.

navie-bayes-arrhythmia

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

new-york-stock-exchange-predictions-rnn-lstm

BEST SCORE ON KAGGLE SO FAR. Mean Square Error after repeated tuning 0.00032. Used stacked GRU + LSTM layers with optimized architecture, learning rate and batch size for best model performance. The graphs are self explanatory once you click and go inside !!!

pandas-technical-indicators

Technical Indicators implemented in Python using Pandas

python-binance

Binance Exchange API python implementation for automated trading

python_for_datascience

Python for Data Science

regular-matrix-transformations