Popular GitHub Repositories for Sequential Monte Carlo

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

A unified, comprehensive and efficient recommendation library

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Optimizing inference proxy for LLMs

MuZero

Monte Carlo tree search in JAX

Bayesian inference with probabilistic programming.

Gaussian processes in TensorFlow

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

Differentiable rendering without approximation.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

Next RecSys Library

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

A tool for retrosynthetic planning

A curated list of Monte Carlo tree search papers with implementations.

Attention mechanism for processing sequential data that considers the context for each timestamp.

Machine learning algorithms for many-body quantum systems