6211 Open source projects that are alternatives of or similar to Drl Portfolio Management

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

DrQ: Data regularized Q

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

PyTorch implementation of Soft Actor-Critic (SAC)

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

A course in reinforcement learning in the wild

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Teach a Quadcopter How to Fly!

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

RAD: Reinforcement Learning with Augmented Data

Repo for the Deep Reinforcement Learning Nanodegree program

Grokking Deep Reinforcement Learning

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

A collection of materials to help you learn about deep learning

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

A Dutch RoBERTa-based language model

DePy 2015 Talk

This is a python module to scrape basketball-reference.com and convert various stats into usable data structures for analysis

Quantitative research and educational materials

A TensorFlow implementation of the Mnemonic Descent Method.

Demos associated with the kernel gateway incubator project

The repository provides usefull python scripts for ML and data analysis

This repository contains EmoBank, a large-scale text corpus manually annotated with emotion according to the psychological Valence-Arousal-Dominance scheme.

Jupyter notebook and datasets from the pandas Q&A video series

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

Built for //BUILD 2017; this repo contains 15 minutes code challenges across data platform and analytics. Inclusive of; SQL Server on Linux, Azure SQL Database, Azure DocumentDB, Azure Search, HDInsight, MySQL as a Service, PostgreSQL as a Service, Bot Framework, Python Tools for Visual Studio, R Tools for Visual Studio. Get challenged, learn new stuff, fork the repo, contribute to the repo, and get a sneak peak the exciting world of Microsoft products and services.

TFeat descriptor models for BMVC 2016 paper "Learning local feature descriptors with triplets and shallow convolutional neural networks"

Corrupted labels and label smoothing

Tutorial on topic models in Python with scikit-learn

Dual LSTM Encoder for Dialog Response Generation

Quantum Machine Learning Reading Group @ ICFO

One place for all the default credentials to assist the Blue/Red teamers activities on finding devices with default password 🛡️

Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

Object classification with CIFAR-10 using transfer learning

https://cc-mnnit.github.io/2018-19-Classes/ - 🎒 💻 Material for Computer Club Classes

Generating automatic trimap through pixel dilation and strongly-connected-component algorithms

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

机器学习基本模型算法介绍(附加案例)