Popular GitHub Repositories for Exact Diagonalization

Machine learning algorithms for many-body quantum systems

Exact structure out of any language model completion.

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.

EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment

An easy python package to run quick basic QA evaluations. This package includes standardized QA evaluation metrics and semantic evaluation metrics: Black-box and Open-Source large language model prompting and evaluation, exact match, F1 Score, PEDANT semantic match, transformer match. Our package also supports prompting OPENAI and Anthropic API.

Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction （ICML 2023）

This project aims to emulate some of the advanced reasoning capabilities seen in models like OpenAI's o1. It does not claim to replicate the exact functionality or performance of o1.

Official codebase for "Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions" (Matrenok et al. 2025).

Predict the exact openai token usage of functions

PixelPyramids: Exact Inference Models from Lossless Image Pyramids (ICCV 2021)

A fastapi wrapper of babca / python-gsmmodem for a waveshare sim7600x. Not an exact copy of the 'python-gsmmodem' so be sure to uninstall that lib or venv to run | Open-source Twilio with LLM batteries

A LLM project to help researchers to find exact information from the research papers and articles.

Comparing predictive distributions from posteriors estimated by coordinate-ascent variational inference (CAVI) versus exact derivation in a univariate bayesian linear regression setting.

A concise repository showcasing an independent evaluation of the ReSearch framework—combining retrieval‑driven reasoning with GRPO—and a statistical hypothesis test comparing its Exact Match performance against a RAG + PPO baseline on multi‑hop QA.

This is a project in which exact inference for tree-structured graph and approximate inference for general graph is implemented.

The primary goal is to develop automated brain tumor detection, a working proposed system. That will be used by Hospitals or laboratories to access the patients to get their MRI reports in time without any problem or dependency. The main objective is to understand the working of image processing, machine learning technologies and working these algorithms on applied technology. This project will help the doctors in finding of tumors precisely according to the length, breadth and the exact position of the infected area.

Missing data imputation using the exact conditional likelihood of Deep Latent Variable Models

Developed a predictive model for heart disease using Decision Tree Algorithm to provide early diagnosis, performed Exploratory Data Analysis to find out the exact affecting symptom , visualized the data set using Matplolib, seaborn libraries For improving performance of Decision tree model, Got the accuracy of 84.6% by performing depth up to 15