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aesara

Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

algotrading

Algorithmic trading framework for cryptocurrencies.

amt-tools

Machine learning tools and framework for automatic music transcription.

awesome-crypto-examples

Awesome crypto automation & algo trading examples

binance

Node.js connector for the Binance APIs and WebSockets, with TypeScript & browser support, integration tests, beautification & more.

binance-connector-python

a simple connector to Binance Public API

binance-trade-bot

Automated cryptocurrency trading bot

blsh-lob-bot

Limit Orderbook CNN model implementation for ETH-BTC (buy-low-sell-high indicator)

brackets

An open source code editor for the web, written in JavaScript, HTML and CSS.

clearlinux

The Clear Linux™ Project for Intel® Architecture is a project that is building a Linux OS distribution for various cloud use cases. The goal of Clear Linux OS, is to showcase the best of Intel Architecture technology, from low level kernel features to more complex items that span across the entire operating system stack.

cnn-lstm_limit_order_book

This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting originally proposed by Zhang et al. (https://arxiv.org/pdf/1808.03668.pdf). The current implementation was adopted in the paper written by Briola et al. (https://arxiv.org/pdf/2007.07319.pdf).

compilerfront

compiling & parsing

cppclean

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

cpsc540project

Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg

crypto-trading-bot

Cryptocurrency trading bot in javascript for Bitfinex, Bitmex, Binance, Bybit ... (public edition)

deepdaytrade

Stock Price Predictor

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.

dgfraud

A Deep Graph-based Toolbox for Fraud Detection

fi2010

FI2010 Dataset (Personal use)

finrl

FinRL: Financial Reinforcement Learning. 🔥

galois

Fusotao proving client.

github-slideshow

A robot powered training repository :robot:

github.io

glove.py

Python implementation of GloVe word embedding algorithm (Pennington et al., 2014) for educational purposes

market-making-with-deep-reinforcement-learning-from-limit-order-books

This repository is for the demonstration of our work, "Market Making with Deep Reinforcement Learning from Limit Order Books"

marketmakingviareinforcementlearning

ml2020-2021

my-first-static-web-app