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btgym

Scalable, event-driven, deep-learning-friendly backtesting library

budibase

Low code platform for creating internal tools, workflows, and admin panels in minutes. Supports PostgreSQL, MySQL, MSSQL, MongoDB, Rest API, Docker, K8s, and more 🚀. Budibase, the low code platform you'll enjoy using ⚡

builder

Drag and drop Visual CMS for React, Vue, Angular, and more

causal_data_science

This is the companion GitHub repository for the talk on causal data science

causality

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

cnn

Using fastai and CNNs to predict stock prices

coding-interview-university

A complete computer science study plan to become a software engineer.

collective2netapi

Automatically exported from code.google.com/p/collective2netapi

cql

Code for conservative Q-learning

create-react-app-auth-amplify

Implements a basic authentication flow for signing up/signing in users as well as protected client side routing using AWS Amplify.

cromwell

Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments

crypto-arbitrage-framework

A cryptocurrency arbitrage framework implemented with ccxt and cplex. It can be used to monitor multiple exchanges, find a multi-lateral arbitrage path which maximizes rate of return, calculate the optimal trading amount for each pair in the path given flexible constraints, and execute trades with multi-threading implemenation.

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

ddpg-rl-portfolio-management

Using Reinforcement Learning with Deep Deterministic Policy Gradient for Portfolio Optimization

deep-convolution-stock-technical-analysis

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-time-series

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

deep-portfolio-management

Source code for the blog post on the evolution of the asset allocation methods

deep_rl_trader

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

deep_trader

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.

deepglo

This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeptime

PyTorch code for DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting

defi-bot

Tutorial for building DeFi arbitrage bots

dl-4-tsc

Deep Learning for Time Series Classification

dnd-kanban-board

A modern drag and droppable kanban board

dqn-global-stock-market-prediction

dsanet

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".