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Name: DevOops

Type: User

Location: Hong Kong

DevOops's Projects

a-crash-course-on-serverless-auth

A short and easy boilerplate showcasing JWT auth with Nodejs, the Serverless framework, MongoDB and AWS Lambda.

amazon-ecs-mythicalmysfits-workshop

A tutorial for developers who want to learn about how to containerized applications on top of AWS using AWS Fargate. You will build a sample website that leverages infrastructure as code, containers, CI/CD, and more! If you're planning on running this, let us know @ [email protected]. At re:Invent 2018, these sessions were run as CON214/CON321/CON322.

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

cardiel

A tool for portfolio managers: use the Black-Litterman model to view optimal portfolio allocations using several of the most popular optimization methods.

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

cloud-devops-learning-resources

This repo includes Books and imp notes related to GCP, Azure, AWS, Docker, K8s, and DevOps. More, exam and interview prep notes.

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

eventsourcing

A library for event sourcing in Python.

evolutionary-algorithm

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)

full-stack-react-projects

Full-Stack React Projects, published by Packt

fuzzywuzzy

Fuzzy String Matching in Python

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

microservicesbooks

Microservices books

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

neat-gym

Neuro-evolution for OpenAI Gym environments

neat-python

Python implementation of the NEAT neuroevolution algorithm

neuroevolution_of_augmenting_topologies_paper

Overview of the current state of 'Neuroevolution of Augmenting Topologies' as a seminar paper

ngboost

Natural Gradient Boosting for Probabilistic Prediction

odoo

Odoo. Open Source Apps To Grow Your Business.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyportfolioopt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

research_public

Quantitative research and educational materials

scikit-learn

scikit-learn: machine learning in Python

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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