Popular GitHub Repositories for Monte Carlo Sampling

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

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

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

LightSeq: A High Performance Library for Sequence Processing and Generation

A procedural Blender pipeline for photorealistic training image generation

Optimizing inference proxy for LLMs

MuZero

Monte Carlo tree search in JAX

Bayesian inference with probabilistic programming.

Gaussian processes in TensorFlow

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

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

Differentiable rendering without approximation.

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Boltzmann Machines in TensorFlow with examples

基于Pytorch和torchtext的自然语言处理深度学习框架。

Pool-based active learning in Python

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..