Popular GitHub Repositories for Constrained Nmf

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

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

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...

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

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

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

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.

Scaling Data-Constrained Language Models

Real-time GCC-NMF Blind Speech Separation and Enhancement

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"

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

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

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

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Path planning for autonomous vehicles using constrained iLQR.

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.