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2dmd_at_a_glance

ai4talk

al_ats

al_nlp_feasible

Towards Computationally Feasible Deep Active Learning

al_toolbox

Active learning

cross_transfer_learning

Cross-Lingual and Cross-Task Transfer Learning

deepct

deepct-inference-helper

A pipeline to obtain DeepCT predictions for a VCF file.

doped_cspbi3_energetics

eco4cast

eco4cast library aims to reduce carbon footprint of machine learning models with predictive cloud computing scheduling

fairness_reliability

Репозиторий для публикации кода к статье Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?

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.

field-matters

fieldmattersworkshop

fs-net

gena_lm

GENA-LM is a transformer masked language model trained on human DNA sequence.

gena_web_docker

gena_web_service

genrisk

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

golf

GOLF: Gradual Optimization Learning for Conformational Energy Minimization

hairfastgan

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

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.

hybrid_uncertainty_estimation

hyperdomainnet

learn-to-follow

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.

mats-lp

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.

medical_crossing

nabladft

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

neural_data_preprocessing

nlp-power

NLP Power! The First Workshop on Efficient Benchmarking in NLP