vishalbelsare Goto Github PK

recallgraph

A versioning data store for time-variant graph data.

reclasso

Implementation of homotopy algorithm for online lasso

recombinator

Recombinator is a Python package for statistical resampling in Python. It provides various algorithms for the iid bootstrap, the block bootstrap, as well as optimal block-length selection.

recovery_likelihood

recurrent-fwp

Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers"

recurrent-neural-networks

Learning about and doing projects with recurrent neural networks

recurrent-slds

Recurrent Switching Linear Dynamical Systems

recursion_examples

Random source code files of recursive algorithms.

recursive-kalman-filter

Simple recursive Kalman filter for predicting Gaussian white noise time series

redis-ml

Machine Learning Model Server

redisgraph

A graph database as a Redis module

redm

Applications of Empirical Dynamic Modeling from Time Series

redshift

Redshift adjusts the color temperature of your screen according to your surroundings. This may help your eyes hurt less if you are working in front of the screen at night.

reef

Automatically labeling training data

reference

Reference implementations of MLPerf benchmarks

reg2class

regain

REGAIN (Regularised Graphical Inference)

regem

Regularized expectation maximization algorithm (Matlab code)

regimedetection

regnet

Network-Based Regularization for Generalized Linear Models

regreg

A multi-algorithm Python framework for regularized regression

regularisation

Optimal sparse portfolio construction using regularisation methods.

regularization_portfolio_optimization

To study the effect of regularization on portfolio optimization

regularizedportfolios

Large-Scale Regularized Portfolio Design

regularizedtauestimator

Reproducible Research material for : A new robust and ifficient estimator for ill-conditioned linear inverse problems with outliers.

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-for-portfolio-allocation

Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation

reinforcement-learning-in-portfolio-management-

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

reinforcement-trading

This project uses Deep Q learning on stock market and agent tries to learn trading. I want to check if the agent can learn to read tape. The project is dedicated to my Hero in life great Jesse Livermore.

reinforcement_trading

environment and models for reinforcement learning applied to trading synthetic signals with statistical autocorrelations