AIRI - Artificial Intelligence Research Institute

HairFastGAN

Official Implementation for "HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach"

OmniFusion

OmniFusion — a multimodal model to communicate using text and images

pogema

POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.

nablaDFT

nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset

LLM-Microscope

him-agent

The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, and thalamus.

SEMAi

Spatial Epitope Modeling with Artificial intelligence (SEMA)

Probing_framework

Framework for probing tasks

TransPath

learn-to-follow

[AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm for constructing a long-term plan and reinforcement learning for resolving local conflicts.

when-to-switch

"When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-planning, reinforcement learning techniques, and three mixed policies for pathfinding in partially observable multi-agent environments. 🤖🛤️

WaRP

WaRP dataset includes labeled images of an industrial conveyor.

mats-lp

[AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a combination of Monte Carlo Tree Search and reinforcement learning for resolving conflicts.

GOLF

GOLF: Gradual Optimization Learning for Conformational Energy Minimization

DeepCT

PROWN

genrisk

GenRisk evaluates the stability of forecasting models to dataset shift using deep generative models and the Worst-Case Risk framework.

teneva_opti

2DMD_at_a_Glance

FFREED

smm

conditional-crystal-generation

DeepCT-inference-helper

A pipeline to obtain DeepCT predictions for a VCF file.

GLiRA

teneva_bm

fdd-defense

Defense of adversarial attacks on FDD models. fdd-defense is a python library with adversarial attacks on Fault Detection and Diagnostic (FDD) models and defense methods against attacks.

FS-NET

GENA_Web_docker

GENA_Web_service

Neural-Potential-Field-for-Obstacle-Aware-Local-Motion-Planning