Pinned Repositories
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 @ aws-mythical-mysfits@amazon.com. 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
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
kaiserho's Repositories
kaiserho/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
kaiserho/a-crash-course-on-serverless-auth
A short and easy boilerplate showcasing JWT auth with Nodejs, the Serverless framework, MongoDB and AWS Lambda.
kaiserho/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 @ aws-mythical-mysfits@amazon.com. At re:Invent 2018, these sessions were run as CON214/CON321/CON322.
kaiserho/Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
kaiserho/cardiel
A tool for portfolio managers: use the Black-Litterman model to view optimal portfolio allocations using several of the most popular optimization methods.
kaiserho/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.
kaiserho/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.
kaiserho/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
kaiserho/eventsourcing
A library for event sourcing in Python.
kaiserho/Evolutionary-Algorithm
Evolutionary Algorithm using Python, 莫烦Python 中文AI教学
kaiserho/financial-machine-learning
A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)
kaiserho/Full-Stack-React-Projects
Full-Stack React Projects, published by Packt
kaiserho/fuzzywuzzy
Fuzzy String Matching in Python
kaiserho/gym
A toolkit for developing and comparing reinforcement learning algorithms.
kaiserho/gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
kaiserho/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.
kaiserho/MicroservicesBooks
Microservices books
kaiserho/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.
kaiserho/neat-gym
Neuro-evolution for OpenAI Gym environments
kaiserho/neat-python
Python implementation of the NEAT neuroevolution algorithm
kaiserho/Neuroevolution_of_Augmenting_Topologies_Paper
Overview of the current state of 'Neuroevolution of Augmenting Topologies' as a seminar paper
kaiserho/ngboost
Natural Gradient Boosting for Probabilistic Prediction
kaiserho/odoo
Odoo. Open Source Apps To Grow Your Business.
kaiserho/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
kaiserho/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
kaiserho/research_public
Quantitative research and educational materials
kaiserho/scikit-learn
scikit-learn: machine learning in Python
kaiserho/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