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quantlib.jl

Quantlib implementation in pure Julia

rabbit4mt4

radio-transformer-networks

A PyTorch implementation of Radio Transformer Networks from the paper "An Introduction to Deep Learning for the Physical Layer".

randomized_causation_coefficient

Paper and code for "The Randomized Causation Coefficient", 2014

randomized_dependence_coefficient

Paper and code for "The Randomized Dependence Coefficient", NIPS 2013

randomized_nonlinear_component_analysis

Paper and code for "Randomized Nonlinear Component Analysis", ICML 2014

ray

A high-performance distributed execution engine

rc-experiments

Reading Comprehension Experiments repository.

rdc

The Randomized Dependence Coefficient in Python

reactive.jl

Reactive programming primitives for Julia

recurrentautoencoder

Sample code for generative recurrent autoencoders.

recurrenthighwaynetworks

Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm

recurrentnn.jl

Deep RNN, LSTM, GRU, GF-RNN, and GF-LSTMs in Julia

reinforce.jl

Abstractions, algorithms, and utilities for reinforcement learning in Julia

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1

Minimal and Clean Reinforcement Learning Examples

reinforcement_learning_for_stock_prediction

This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube

relation-network

keras implementation of [A simple neural network module for relational reasoning](https://arxiv.org/pdf/1706.01427.pdf)

relational-networks

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

remotefiles.jl

Download files from the Internet and keep them up-to-date.

research

comma.ai for the people to experiment with

research_public

Quantitative research and educational materials

reservoirpy

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

residual-flow

An implementation of the Residual Flow algorithm for out-of-distribution detection.

retocomunitariosagaquant-eas

rigetti_training_material

Slide decks and Jupyter notebooks for training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.

rithmic

rlibeemd

Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

rlnonstationary

Demo for the application of RL to non-stationary effects