Generative Toolkit 4 Scientific Discovery (GT4SD)

Generative Toolkit 4 Scientific Discovery

GT4SD

Organization data from Github https://github.com/GT4SD

GitHub:@GT4SD

Generative Toolkit 4 Scientific Discovery's repositories

gt4sd-core

GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

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zero-shot-bert-adapters

Implementation of Z-BERT-A: a zero-shot pipeline for unknown intent detection.

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multitask_text_and_chemistry_t5

Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023

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molgx-core

IBM Molecule Generation Experience (MolGX) is a tool to accelerate an AI-driven design of new materials.

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he-compliant-approximation

Homomorphic encryption compliant learnable approximation

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lm-assistant-for-biocatalysis

This project focuses on streamlining and automating key tasks in protein modeling, optimization, and the design of experiments for biocatalyzed reactions

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molecular-design

Generative AI pipeline for target-based molecular design

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molecule-generation

Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation

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reinvent_models

GT4SD fork of Reinvent Models

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moses

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

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mtl4ad

Repository to fine-tune various LLMs architectures for AD on a multi-task datasets.

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.github

Special repository hosting the organization profile.

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guacamol_baselines

Baselines models for GuacaMol benchmarks

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scipy_proceedings

Tools used to generate the SciPy conference proceedings

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enzeptional

Enzeptional stand-alone python package

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TDC

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

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