Popular GitHub Repositories for Hamiltonian Cycles

Bayesian inference with probabilistic programming.

Machine learning algorithms for many-body quantum systems

Code for our paper "Hamiltonian Neural Networks"

We research the correlations between astrology planet cycles and price effect for multiples financial markets using statistics and machine learning techniques. Join the community discussions at Telegram:

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

AI research environment for the game of Snake ? .

A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)

Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"

A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/pdf/2102.10132.pdf)

Using deep reinforcement learning to play Snake game. The used algorithm is PPO for discrete! It has the brilliant performance in the field of discrete action space just like in continuous action space. You just need half an hour to train the snake and then it can be as smart as you.|使用深度强化学习玩蛇游戏。 使用的算法是离散的 PPO！ 它在离散动作空间领域有着与连续动作空间一样的出色表现。

Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods

The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural Networks (DNNs), Neural ODEs, and Symplectic Neural Networks (SympNets) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).

Official code for HH-VAEM

This repository features my solution for the DevFest '24 Challenge by @GDGAlgiers , where I used Proximal Policy Optimization (PPO) to optimize bandwidth allocation based on user demands over 24 hours. Key highlights include dynamic resource allocation and visualizations of demand versus allocation cycles

Cipher AI Vault is an Azle-based proof of concept designed with a strong emphasis on abstraction, seamlessly integrating in-memory VectorDB, in-memory LLM, secure asset storage, stable memory data storage, cycles-distro top-up, and ic-auth for authentication.

An experimental Python package for learning Bayesian Neural Network.

Hamiltonian Annealed Importance Sampling (HAIS) in tensorflow

? Fully local deep web research assistant powered by Ollama LLMs. Conducts iterative research cycles with intelligent query generation, web search, and comprehensive summarization using LangGraph.

A parallelized brute-force program for finding and plotting all shortest paths that touch every square in an n by n grid

A few proofs and examples related to ML/Prob and Optimisation