bay3s's repositories
rl-squared
RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning
ppo-parallel
Parallelized implementation of Proximal Policy Optimization (PPO).
adaptive-ml
ML experiments in meta-learning and domain randomization.
autometa
An in-depth exploration and comparative analysis of representative methods for Meta Reinforcement Learning and Curriculum Design.
ccxt
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
coinex_perpetual_api
The CoinEx Contract API
darwin
Evolutionary computing for optimizing deep neural nets.
pydoku
A SAT solver that will make you smile.
crv-usdt-risks
An Agent-Based model for simulating crvUSD market risks.
d-tree
Decision tree implementation from the Carnegie Mellon ML course.
equivariant-gconv
Contains experiments in equivariant group convolutions.
grid
Grid environment for Reinforcement Learning (RL) agents.
MetaLearningTradeoffs
Source code for the NeurIPS 2020 Paper: Modeling and Optimization Trade-off in Meta-learning.
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.
multilayer-nn
Deep neural nets from first principles using only NumPy.
recurrent-nets
Implementations of commonly used recurrent neural nets.
reinforce-rl
Vanilla Policy Gradient (REINFORCE) implementation with PyTorch
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.