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Holistic AI
- Rio de Janeiro/RJ - Brazil
- https://kleytondacosta.com
- @kleytondacosta
Highlights
- Pro
Stars
List of ML conferences with important dates and accepted paper list
Code for paper https://arxiv.org/abs/2102.13186
Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property c…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Sky-T1: Train your own O1 preview model within $450
A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)
Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"
This is the official github repo of Think-on-Graph (ICLR 2024). If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email (xuchengj…
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)
[KDD 2024]this is project for training explicit graph reasoning large language models.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
As part of the Explainable AI Toolkit (XAITK), XAITK-Saliency is an open source, explainable AI framework for visual saliency algorithm interfaces and implementations, built for analytics and auton…
Repo for our Paper: Explainable Model-Agnostic Similarity and Confidence in Face Verification
Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
This repository implements variational graph auto encoder by Thomas Kipf.
Implementation of Graph Auto-Encoders in TensorFlow
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
An open-source compliance-centered evaluation framework for Generative AI models
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
Benchmark datasets, data loaders, and evaluators for graph machine learning
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
PyTorch implementations of Learning Mesh-based Simulation With Graph Networks