Popular GitHub Repositories for Constrained Likelihood

Instant, controllable, local pre-trained AI models in Rust

OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constrained knowledge modeling, 2) facts and logic fused representation, 3) natively support KAG...

Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

Fast & Simple Resource-Constrained Learning of Deep Network Structure

This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning.

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models, ICLR 2025

Scaling Data-Constrained Language Models

Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

Official repository for "CFG++: manifold-constrained classifier free guidance for diffusion models"

Path planning for autonomous vehicles using constrained iLQR.

Official Implementation of "Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models".

Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. These are the L2R core libraries.

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)