algoskynet,AlgoSky,github

deep_fundamental_factors

Source code for Deep Fundamental Factor Models, https://arxiv.org/abs/1903.07677

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deepstock

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

detect-anomaly

Repository for Udemy Course: Identify problems with Artificial Intelligence

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

differential-ml

Differential machine learning in Keras / Tensorflow 2

discretization-cir-processes

This is a simulation project for the seconder order discretization schemes for the CIR process.

distr6

:exclamation: This is a read-only mirror of the CRAN R package repository. distr6 — The Complete R6 Probability Distributions Interface. Homepage: https://alan-turing-institute.github.io/distr6/, https://github.com/alan-turing-institute/distr6/ Report bugs for this package: https://github.com/alan-turing-institute/distr6/issues

dldt

OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository

dliss-tutorial

Tutorial for International Summer School on Deep Learning, 2019

dlpack

common in-memory tensor structure

dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

docker

Docker - the open-source application container engine

docker-r-h2o-tidyverse

Personal Docker image to host used R packages used for Lazy Trading

docker-rro

Docker for Revolution R Open

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dotnet-docs-samples

.NET code samples used on https://cloud.google.com

dpmm

Dirichlet process mixture model code in Matlab. Sampling and variational.

dq-mm

Deep Q-Learning for Market Making

dqn-ddpg_stock_trading

Using DQN/DDPG for stock trading. Xiong, Z., Liu, X.Y., Zhong, S., Yang, H. and Walid, A., 2018. Practical deep reinforcement learning approach for stock trading, NeurIPS 2018 AI in Finance Workshop.