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hopfield-layers
Hopfield Networks is All You Needhopular
Hopular: Modern Hopfield Networks for Tabular Datacloob
DeepRC
DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learningclamp
Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human LanguageHopCPT
Conformal Prediction for Time Series with Modern Hopfield NetworksGINNs-Geometry-informed-Neural-Networks
helm
sars-cov-inhibitors-chemai
Large-scale ligand-based virtual screening for potential SARS-Cov-2 inhibitors using a deep neural networkL2M
Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)rudder
RUDDER: Return Decomposition for Delayed Rewardsmhn-react
Modern Hopfield Network (MHN) for template relevance predictionmc-lstm
Experiments with Mass Conserving LSTMsUPT
Code for the paper Universal Physics Transformershyper-dti
HyperPCM: Robust task-conditioned modeling of drug-target interactionsMIM-Refiner
A Contrastive Learning Boost from Intermediate Pre-Trained Representationslsc
Large-scale comparison of machine learning methods for drug target prediction on ChEMBLcloome
MAE-CT
quam
Quantification of Uncertainty with Adversarial ModelsDIffUCO
hopfield-boosting
semantic-image-text-alignment
SDLG
SDLG is an efficient method to accurately estimate aleatoric semantic uncertainty in LLMsvnegnn
align-rudder
Code to reproduce results on toy tasks and companion blog for the paper.oeaw_ai_summer_school
Introduction to Machine Learning and Neural Networks, including NNs, CNNs, RNNs, AE, VAE, and GANchef
subgd
Code for "Few-Shot Learning by Dimensionality Reduction in Gradient Space"mgenerators-failure-modes
Shows some of the ways molecule generation and optimization can go wrongreactive-exploration
Code for the paper "Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning"MHNfs
hti-cnn
VAG-CO
tensorflow-layer-library
Tensorflow Layer Library (TeLL)bgnn
gapnet-pl
GNN-VPA
A Variance-Preserving Aggregation Strategy for Graph Neural Networksmelvin
convex-init
Code for Principled Weight Initialisation for Input-Convex Neural NetworksPlattScaling
Python Package for Platt scaling based on the algorithm according to Lin, Lin and WengTPDistance
Computation of 3D Triangle Point Distances (on a GPU)diverse-hits
Code accompanying our paper on diversity-based comparison of goal-directed generatorscovid
haprfn-R
LRAM
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics TasksExCAPE
Code for DNNs in the ExCAPE-Projectblog-post-performer
Blog post to the Performer paper including exemplary notebooksml-jku.github.io
Repository for the website of Institute for Machine Learning, Linz.autoregressive_activity_prediction
This repo includes code for the autoregressive activity prediction for low-data drug discovery manuscriptLove Open Source and this site? Check out how you can help us