seanahmad Goto Github PK

dd-vae

Deterministic Decoding for Discrete Data in Variational Autoencoders

ddm

Distributed decision-making system with Jade and Weka

de4s_model

Timeseries forecasting model capable of forecasting time-varying seasonal structures.

deep-finance

Datasets, papers and books on AI & Finance.

deep-gamblers

Unofficial TensorFlow implementation of "Deep Gamblers" (NeurIPS 2019). Deep gamblers achieves strong results in selective classification problem without almost no modification to model architecture.

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-1

The notebooks here were developed for some duties developed during the master

deep-learning-boot-camp

A nonprofit community run, 5-day Deep Learning Bootcamp

deep-learning-machine-learning-stock

Stock for Deep Learning and Machine Learning

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-tensorflow

Gathers Tensorflow deep learning models.

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep-learning-tutorials

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

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

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-rl

Repository for deep reinforcement learning with OpenAI

deep-trading

Algorithmic trading with deep learning experiments

deep-trading-agent

Deep Reinforcement Learning based Trading Agent for Bitcoin

deep_fundamental_factors

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

deepke

An Open Toolkit for Knowledge Base Population（由浙江大学贡献的开源知识图谱抽取与构建工具）

deeplearningcreditriskmodeling

Replication codes for Deep Learning Credit Risk Modeling by Manzo, Qiao

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

deeplob-deep-convolutional-neural-networks-for-limit-order-books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

deeplob-model-implementation-project

This repo contains some codes and outputs of my implementation of DeepLOB model.

deeptime

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

defi-derivatives

A hopefully comprehensive guide to the defi derivative landscape

delphi-raspberrypi

🥧 Simple projects to show interaction between Delphi and Raspberry Pi

deltapy

DeltaPy - Tabular Data Augmentation (by @firmai)

demo-strategy

Example "opening gap" trading strategy