Pinned Repositories
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
evolution-strategies-starter
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
WaveNet-BTC
WaveNet model applied to intra-day Bitcoin exchange forcasting
cvxpylayers
Differentiable convex optimization layers
exp_util_gm_portfolio_opt
Minimal entropic value at risk (EVaR) portfolio construction under a Gaussian mixture model of returns.
BlockWaving's Repositories
BlockWaving/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
BlockWaving/evolution-strategies-starter
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
BlockWaving/multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
BlockWaving/RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
BlockWaving/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
BlockWaving/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
BlockWaving/TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
BlockWaving/WaveNet-BTC
WaveNet model applied to intra-day Bitcoin exchange forcasting