Alternatives and similar repositories for Phantom

Users that are interested in Phantom are comparing it to the libraries listed below

• jpmorganchase / abides-jpmc-public
  ☆135Updated last year
• coverdrive / technical-documents
  Technical documents on a variety of topics, created for the purpose of learning
  ☆43Updated 5 months ago
• KangOxford / jax-lob
  JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
  ☆30Updated last year
• CFMTech / Deep-RL-for-Portfolio-Optimization
  Deep Reinforcement Learning for Portfolio Optimization
  ☆128Updated 5 years ago
• kayuksel / generative-opt
  Democratizing Index Tracking for Small Investors in Europe: A Meta-Learning Method for Sparse Portfolio Optimization
  ☆83Updated 2 years ago
• yhilpisch / rlfinance
  The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance
  ☆105Updated 3 years ago
• AI4Finance-Foundation / RLSolver
  Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.
  ☆160Updated 3 months ago
• ChuaCheowHuan / gym-continuousDoubleAuction
  A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum …
  ☆150Updated 3 weeks ago
• JJJerome / mbt_gym
  mbt_gym is a module which provides a suite of gym environments for training reinforcement learning (RL) agents to solve model-based high-…
  ☆161Updated last year
• maxe-team / maxe
  Multi-Agent eXchange simulator developed at Oxford-Man Institute
  ☆63Updated 5 years ago
• crunchdao / competitions
  ☆18Updated 2 weeks ago
• KangOxford / AlphaTrade
  JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
  ☆130Updated this week
• sebjai / robust-risk-aware-rl
  Some implementations from the paper robust risk aware reinforcement learning
  ☆36Updated 3 years ago
• LLNL / Abmarl
  Agent Based Modeling and Reinforcement Learning
  ☆73Updated last year
• PacktPublishing / Mastering-Reinforcement-Learning-with-Python
  Mastering Reinforcement Learning with Python, published by Packt
  ☆162Updated 2 weeks ago
• quantgirluk / aleatory
  📦 Python library for Stochastic Processes Simulation and Visualisation
  ☆338Updated 5 months ago
• erachelson / RLclass_MVA
  ☆57Updated 7 months ago
• acoache / RL-DynamicConvexRisk
  Python code to perform risk-sensitive Reinforcement Learning with dynamic convex risk measures
  ☆23Updated last year
• imanolperez / market_simulator
  Market simulator
  ☆61Updated 5 years ago
• WenhangBao / Multi-Agent-RL-for-Liquidation
  Source code for paper:Multi-agent reinforcement learning for liquidation strategy analysis
  ☆58Updated 6 years ago
• vanessa-pizante / Deep-Optimal-Stopping
  Deep Optimal Stopping Project
  ☆15Updated 6 years ago
• deepcrypto / Reinforcement-learning-in-portfolio-management-
  This project implements the two deep reinforcement learning algorithms on portfolio management
  ☆54Updated 7 years ago
• HeKrRuTe / OptStopRandNN
  code for "Optimal Stopping via Randomized Neural Networks"
  ☆58Updated last year
• AlejandroSantorum / scikit-rmt
  Random Matrix Theory library - RMT analysis and simulation in Python
  ☆50Updated 3 weeks ago
• TikhonJelvis / RL-book
  ☆591Updated last year
• andnp / coursera-rl-glue
  RlGlue code library used in the RL specialization on Coursera.
  ☆31Updated last year
• cvxgrp / cvxmarkowitz
  ☆28Updated 3 months ago
• differential-machine-learning / notebooks
  Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Diff…
  ☆144Updated 2 years ago
• issaz / sigker-nsdes
  Code accompanying the paper "Non-adversarial training of Neural SDEs with signature kernel scores".
  ☆21Updated last year
• microprediction / monteprediction_colab_examples
  Monte Carlo Submission Examples
  ☆17Updated 11 months ago