peterhsshin

AFML

All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

cadence-java-client

Java framework for Cadence Workflow Service

ETSformer

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

ETSformer-pytorch

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

example-nodejs-gateway

Example implementation of a NodeJS Gateway for Major Tom

FinRL

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

fracdiff

Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.

kona

kubos

An open source platform for satellites

kubos-gateway

The KubOS python gateway

peterhsshin/kona

peterhsshin/AFML

All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

peterhsshin/cadence-java-client

Java framework for Cadence Workflow Service

peterhsshin/ETSformer

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

peterhsshin/ETSformer-pytorch

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

peterhsshin/example-nodejs-gateway

Example implementation of a NodeJS Gateway for Major Tom

peterhsshin/FinRL

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

peterhsshin/fracdiff

Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.

peterhsshin/kubos

An open source platform for satellites

peterhsshin/kubos-gateway

The KubOS python gateway

peterhsshin/majortom_gateway_package

Python Gateway API Package for Major Tom

peterhsshin/majortom_scripting_package

A Python Package for interacting with Major Tom's Scripting API

peterhsshin/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.

peterhsshin/openssl

TLS/SSL and crypto library

peterhsshin/ort

A suite of tools to assist with reviewing Open Source Software dependencies.

peterhsshin/PGPortfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

peterhsshin/pyyaml

Canonical source repository for PyYAML

peterhsshin/subspace_java_openapi_client

peterhsshin/uni-react-native-coding-task-setup