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Deterministic Decoding for Discrete Data in Variational Autoencoders
Distributed decision-making system with Jade and Weka
Timeseries forecasting model capable of forecasting time-varying seasonal structures.
Datasets, papers and books on AI & Finance.
Unofficial TensorFlow implementation of "Deep Gamblers" (NeurIPS 2019). Deep gamblers achieves strong results in selective classification problem without almost no modification to model architecture.
Repo for the Deep Learning Nanodegree Foundations program.
The notebooks here were developed for some duties developed during the master
A nonprofit community run, 5-day Deep Learning Bootcamp
Stock for Deep Learning and Machine Learning
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Gathers Tensorflow deep learning models.
List of papers, code and experiments using deep learning for time series forecasting
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
Hands-on Deep Reinforcement Learning, published by Packt
Repository for deep reinforcement learning with OpenAI
Algorithmic trading with deep learning experiments
Deep Reinforcement Learning based Trading Agent for Bitcoin
Source code for Deep Fundamental Factor Models, https://arxiv.org/abs/1903.07677
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)
Replication codes for Deep Learning Credit Risk Modeling by Manzo, Qiao
A tutorial demonstrating how to implement deep learning models for time series forecasting
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.
This repo contains some codes and outputs of my implementation of DeepLOB model.
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
A hopefully comprehensive guide to the defi derivative landscape
🥧 Simple projects to show interaction between Delphi and Raspberry Pi
DeltaPy - Tabular Data Augmentation (by @firmai)
Example "opening gap" trading strategy
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.