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adaptive-ml

ML experiments in meta-learning and domain randomization.

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

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.

grid

Grid environment for Reinforcement Learning (RL) agents.

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-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.

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

recurrent-nets

Implementations of commonly used recurrent neural nets.

reinforce-rl

Vanilla Policy Gradient (REINFORCE) implementation with PyTorch

rl-squared

RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

strat-notes

Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion).

translators

WIP: implementing and exploring canonical neural machine translation architectures.

trend-analysis