edenciso's Stars
google-research/google-research
Google Research
deezer/spleeter
Deezer source separation library including pretrained models.
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
quantumlib/Cirq
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
hudson-and-thames/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
cuemacro/finmarketpy
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Qiskit/qiskit-metapackage
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
PacktPublishing/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
Qiskit/qiskit-tutorials
A collection of Jupyter notebooks showing how to use the Qiskit SDK
AminHP/gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
cuemacro/findatapy
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
rigetti/pyquil
A Python library for quantum programming using Quil.
numerai/example-scripts
A collection of scripts and notebooks to help you get started quickly.
polygon-io/client-python
The official Python client library for the Polygon REST and WebSocket API.
notadamking/Stock-Trading-Environment
A custom OpenAI gym environment for simulating stock trades on historical price data.
hackthemarket/gym-trading
Environment for reinforcement-learning algorithmic trading models
aws/sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
aws-samples/aws-deepcomposer-samples
XanaduAI/quantum-neural-networks
This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.
6-Billionaires/trading-gym
This trading-gym is the first trading for agent to train with episode of short term trading itself.
vermouth1992/drl-portfolio-management
CSCI 599 deep learning and its applications final project
numerai/numerox
Numerai tournament toolbox written in Python
aws-samples/amazon-sagemaker-stock-prediction-archived
Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.
Originate/dbg-pds-tensorflow-demo
Making predictions on prices in the Deutsche Börse Public Dataset using neural networks
sunilmallya/timeseries
Deep Learning repo for timeseries and sequence data
rigetti/quantumflow
QuantumFlow: A Quantum Algorithms Development Toolkit
juliuskittler/IEX_historical-prices
This repo contains a script for regularly downloading all historic intraday OHCL data from IEX with Python, asynchronously, via API and for free.
aws-john/SageMakerRL-SML-Summit-2019
karalekas/stanford-cs269q
Stanford CS 269Q: Quantum Computer Programming
rstreppa/algorithms-Basics
Basic Algorithms, Data Structures and Design Patterns