bay3s Goto Github PK

adaptive-ml

ML experiments in meta-learning and domain randomization.

alpha_t-rim

auto-dr

Automatic Domain Randomization (ADR) proposed in "Solving Rubik's Cube with a Robot Hand"

autometa

An in-depth exploration and comparative analysis of representative methods for Meta Reinforcement Learning and Curriculum Design.

bay3s.github.io

ccxt

A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

coinex_perpetual_api

The CoinEx Contract API

crv-usdt-pool

An Agent-Based model for simulating crvUSD market.

crypto-reading-list

d-tree

Decision tree implementation from the Carnegie Mellon ML course.

darwin

Evolutionary computing for optimizing deep neural nets.

dqn-recurrent

dqn-rl

equivariant-gconv

Contains experiments in equivariant group convolutions.

formulaic-alphas

gaussian-hmm

Modeling the S&P500 index as a hidden markov model for regime identification and creating a trading algorithm to capitalize on hidden state patterns.

grid

Grid environment for Reinforcement Learning (RL) agents.

hft-stat-arb

lead-lag

Estimation of the lead-lag parameter from non-synchronous data.

metalearningtradeoffs

Source code for the NeurIPS 2020 Paper: Modeling and Optimization Trade-off in Meta-learning.

ml-finance

ml-hft

High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques

ml-prado

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

mlfinlab

momentum

multilayer-nn

Deep neural nets from first principles using only NumPy.

ppo-parallel

Parallelized implementation of Proximal Policy Optimization (PPO).

ppo-rl

Proximal Policy Optimization (PPO) implementation in PyTorch.

pydoku

A SAT solver that will make you smile.

rdf2html

a javascript library to visualize an array of RDF triples into an HTML page