minhmanminhman Goto Github PK

advanced_programming_teaching

My teaching folder for Advanced Programming in DS & Finance 2019 at John von Neumann Institue

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

fixed_income_securities_and_derivative_modeling

Fixed Income Derivatives modeling is a triumph of Mathematical Finance, since all major institutions use the theory for pricing, hedging, and management risk, is by far the largest instrument class.

fruit-api

A Universal Deep Reinforcement Learning Framework

gym-anytrading

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

hft-price-prediction

A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.

hft_analysis

Data analysis, modelling for high-frequency trading dataset

infersent

InferSent sentence embeddings

jvn-stuco.github.io

blog Jvn stucco

machine-learning-yearning-vietnamese-translation

mth9821-2017

This repo contains lecture notes of MTH9821 for 2017

mth9845_risk_management

This repo contains files of MTH9845 2017 Spring class

netron

Visualizer for neural network, deep learning and machine learning models

numerical_finance

Repository for Numerical methods in Finance course

reinforcement-learning

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

reinforcement-learning-2nd-edition-by-sutton-exercise-solutions

Solutions of Reinforcement Learning, An Introduction

relativerotationgraphs

risk_modelling

This repo is our final project for course "Risk modelling" at John von Neumann Institue.

rl-baselines3-zoo-forked

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

shap

A unified approach to explain the output of any machine learning model.

stock-env