A 15TB Collection of Physics Simulation Datasets

ElasticSearch Query Fine-Tuning Training Data for Large Language Models

An AI Agent for Fully Automated Multi-omic Analyses

Chemcrow

Autonomous Agents (LLMs) research papers. Updated Daily.

NOMAD lets you manage and share your materials science data in a way that makes it truly useful to you, your group, and the community.

Making Protein Design accessible to all via Google Colab!

Awesome Protein Representation Learning

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)

Scalable Deep Learning for RNA Secondary Structure Prediction

Listing of papers about machine learning for proteins.

List of papers about Proteins Design using Deep Learning

The official implementation of the ICLR'24 paper RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design.

This is the NeurIPS BEETL repository (https://beetl.ai)

Official repository for the paper "Modeling Label Space Interactions in Multi-label Classification using Box Embeddings".

Code for paper "Multi-label Classification Neural Networks with Hard Logical Constraints"

Weakly-supervised Action Localization

PyTorch samplers that output roughly balanced batches with support for multilabel datasets

Pytorch implementation of Center Loss

Experiments in differentiable convex optimization

A playbook for systematically maximizing the performance of deep learning models.

Analysis of Transformer attention in EEG signal classification

Visualizer for neural network, deep learning and machine learning models