Mol-Instructions
MolDataset
A dataset and tools package designed to support the training and evaluation of large language models for molecular biology tasks
[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
252 stars
7 watching
16 forks
Language: Python
last commit: 25 days ago
Linked from 1 awesome list
ai-for-sciencebiomedicaldatasetdatasetsgenerationiclr2024instructioninstruction-followinginstructionslarge-language-modelsllamamol-instructionmoleculenatural-language-processingproteinresourcescience
yaodongc/awesome-instruction-datasetRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ailab-cvc/seed | An implementation of a multimodal language model with capabilities for comprehension and generation | 576 |
 mbzuai-nlp/bactrian-x | A collection of multilingual language models trained on a dataset of instructions and responses in various languages. | 94 |
 byungkwanlee/moai | Improves performance of vision language tasks by integrating computer vision capabilities into large language models | 311 |
 ys-zong/vl-icl | A benchmarking suite for multimodal in-context learning models | 28 |
 herilalaina/mosaic_ml | Automated machine learning with tree search optimization | 16 |
 mojaie/moleculargraph.jl | A Julia-based toolkit for graph-based molecule modeling and chemoinformatics analysis | 202 |
 pku-yuangroup/languagebind | Extending pretraining models to handle multiple modalities by aligning language and video representations | 723 |
 zlpure/machine-learning--coursera | A comprehensive solution to machine learning assignments on Coursera with MATLAB code | 55 |
| zjunlp/easyedit | A framework that provides an easy-to-use interface for editing knowledge in large language models. | 1,931 |
 mcs07/molvs | Tool for validating and standardizing chemical structures to improve data quality and facilitate comparisons. | 159 |
 instadeepai/mava | A research-friendly codebase for experimenting with multi-agent reinforcement learning in JAX | 734 |
 dcdmllm/cheetah | A large language model designed to understand and generate instructions with accompanying visual content | 356 |
 vimalabs/vima | An implementation of a general-purpose robot learning model using multimodal prompts | 774 |
 mplatvoet/funktional | A Kotlin implementation of monadic types for functional programming. | 10 |
 fuxiaoliu/mmc | Develops a large-scale dataset and benchmark for training multimodal chart understanding models using large language models. | 84 |