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a collection of datasets for the re-identification of animal individuals
Hackathon on water scarcity
Loss function which directly targets ROC-AUC
A unified, fexible and interpretable representation learning framework for univariate and multivariate time-series (MTS).
Official repository for the Boltz-1 biomolecular interaction model
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
Identifying peptide-receptor interactions using AlphaFold-Multimer
Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling
Generalised Contrastive Learning. This is a Repository for Google Shopping Dataset and Benchmarks followed by our novel fine-grained contrastive learning framework.
Active Learning-Assisted Directed Evolution for Protein Engineering
ML-optimized library design with improved fitness and diversity for protein engineering
An extension of LightGBM to probabilistic modelling
GOLF: Gradual Optimization Learning for Conformational Energy Minimization
Saprot: Protein Language Model with Structural Alphabet (AA+3Di)
A foundation model for knowledge graph reasoning
ProtMamba: a homology-aware but alignment-free protein state space model
code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem
Structure-conditioned masked language modeling for protein sequence design
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
HydrAMP: a deep generative model for antimicrobial peptide discovery
This is the reference implementation of our NeurIPS 2023 paper "Add and Thin: Diffusion for Temporal Point Processes"
A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer (https://arxiv.org/abs/2008.02387) from NNAISENSE.
A python package for graph kernels, graph edit distances, and graph pre-image problem.