Pinned Repositories
codeworld
Educational computer programming environment using Haskell
blockly
The web-based visual programming editor.
codeworld
Educational computer programming environment using Haskell
cplex-haskell
Haskell bindings for CPLEX
dotfiles
i3 config
EtherScripts
Here be dragons
forknote2
FunBlocks
A functional block-based programming language for CodeWorld
GeneticMIDI
Algorithmic Music Composition
nicehashpy
stefaj's Repositories
stefaj/GeneticMIDI
Algorithmic Music Composition
stefaj/nicehashpy
stefaj/worldmodels.github.io
World Models
stefaj/anomaliesinoptions
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
stefaj/ARS
An implementation of the Augmented Random Search algorithm
stefaj/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
stefaj/ccxt
A JavaScript / Python / PHP cryptocurrency trading library with support for more than 100 bitcoin/altcoin exchanges
stefaj/Deep-RL-agents
stefaj/deep-trading-agent
Deep Reinforcement Learning based Trading Agent for Bitcoin
stefaj/DeepRL
Learning Deep Reinforcement Learning with Python and Numpy
stefaj/distributional_rl
Distributional Reinforcement Learning
stefaj/GANs
GAN experiments in Tensorflow
stefaj/GBM-param-est
stefaj/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
stefaj/mikroapp
React Micro Application example
stefaj/peatio
An open-source Crypto-Currency exchange.
stefaj/pyethereum
Next generation cryptocurrency network
stefaj/python-idex
IDEX Exchange REST API python implementation
stefaj/PyWaves
Object-oriented library for the Waves blockchain platform
stefaj/RealtimeMessaging-Python3
Realtime Cloud Messaging Python 3.x SDK
stefaj/rlkit
Collection of reinforcement learning algorithms
stefaj/rlplay
reinforcement learning playground
stefaj/seq2seq
stefaj/seq2seq-signal-prediction
Signal prediction with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow
stefaj/shan-shui-inf
Procedurally generated Chinese landscape painting.
stefaj/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.
stefaj/technical_indicators
Technical Indicators in Python
stefaj/Trading-Gym
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
stefaj/universal-portfolios
Collection of algorithms for online portfolio selection
stefaj/yarll
Yet Another Reinforcement-Learning Library