natwijaya19,github

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

cookiecutter-modern-datascience

Start a data science project with modern tools

cookiecutter-modern-pypackage

Cookiecutter template for a modern Python package.

coursera-machine-learning-stanford

Machine learning-Stanford University

crafting-test-driven-software-with-python

Crafting Test-Driven Software with Python, published by Packt

crypto-bot

This repository contains a crypto currency trading bot. The bot implements some strategies (donchian, ema, atr) and works on the Bitfinex crypto currency exchange.

cs11dotnet7

Repository for the Packt Publishing book titled "C# 11 and .NET 7 - Modern Cross-Platform Development Fundamentals" by Mark J. Price

csharp-library

C# library for AutoTrader Web broker independent automated trading API

csmpfit

A Least Squares Optimization Library in C#

csvhelper

Library to help reading and writing CSV files

cvxpy

A Python-embedded modeling language for convex optimization problems.

darts

A python library for user-friendly forecasting and anomaly detection on time series.

dash

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

data-scientist-roadmap

Toturials coming with the "data science roadmap" picture.

dataframe-ec

A tabular data structure (aka a data frame) based on the Eclipse Collections framework

deap

Distributed Evolutionary Algorithms in Python

deedle

Easy to use .NET library for data and time series manipulation and for scientific programming

deep-learning-cheatsheet

A summary of the core concepts of deep learning along with some working implementation examples.

deep-learning-in-production

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

deep-learning-project-template

A best practice for deep learning project template architecture.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning

design-pattern

design pattern guide and cheat sheet

design-patterns-explained-with-food

GoF Design Patterns with "Real-World" examples involving Food-Related Businesses and mock dependencies

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