MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone

Repository For [ICASSP2023] [VISION, DEDUCTION AND ALIGNMENT: AN EMPIRICAL STUDY ON MULTI-MODAL KNOWLEDGE GRAPH ALIGNMENT]

[AAAI 2024] MESED: A Multi-modal Entity Set Expansion Dataset with Fine-grained Semantic Classes and Hard Negative Entities

code for the table-based open domain question answering project, with paper title: "Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering"

Anserini is a Lucene toolkit for reproducible information retrieval research

An Instruction-tuned Large Language Model for E-commerce

[Paper][ISWC 2023] Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…

Inference code for Llama models

TKDE 2023: Automatic Context Pattern Generation for Entity Set Expansion

simple python script to get some results from a search query using wikipedia API :)

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

MedType: Improving Medical Entity Linking with Semantic Type Prediction

SIGIR 2022: Contrastive Learning with Hard Negative Entities for Entity Set Expansion

spaCy module for linking text to Wikidata items

Python tools for interacting with Wikidata

😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

A Wikidata Python module integrating the MediaWiki API and the Wikidata SPARQL endpoint

State-Relabeling Adversarial Active Learning

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)

The code of paper "Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding"

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020

Implementation of Contrastive Predictive Coding for Natural Language

Keras implementation of Representation Learning with Contrastive Predictive Coding for images

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Ongoing research training transformer models at scale

Must-read papers on prompt-based tuning for pre-trained language models.

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.