The Paper List on Data Contamination for Large Language Models Evaluation.
Official Repository for the Uni-Mol Series Methods
Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines
Must-read Papers on Knowledge Editing for Large Language Models.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
deep_video_extraction is a powerful repository designed to extract deep feature representations from video inputs using pre-trained models. With support for both visual and aural features from videos. Additionally, you can process audio separately by converting it into spectrograms.
[ICLR 2024] Supervised Pre-Trained 3D Models for Medical Image Analysis
This repository contains the python package for Helical
Waste sorter for recycling using AI
Versions of model bai.
An Open-sourced Knowledgable Large Language Model Framework.
Progressive Transfer Learning for Peptide-Protein-Specific Interaction Profiling based on Interpretable Biological Sequence Pragmatic Analysis
Food Vision Big™, using all of the data from the Food101 dataset. Beat the DeepFood paper : https://www.researchgate.net/publication/304163308_DeepFood_Deep_Learning-Based_Food_Image_Recognition_for_Computer-Aided_Dietary_Assessment
A summer research project for URES students: Identify PTM reuse through academic transactions
Accurate image classification powered by InceptionV3 deep learning model. Quickly classify diverse images with high precision using TensorFlow.
[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
[KDD'2024] "HiGPT: Heterogenous Graph Language Models"
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
This paper introduces a systematic and large-scale study of the Vietnamese question generation task. Different from prior work that only investigates the task with a small number (1-2) of datasets, the study reports the performance of question generation models on a wide range of Vietnamese machine reading comprehension corpora in different setting
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