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awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

campus2024

2024届互联网校招信息汇总

cifar10-pytorch

duet-aaai2023

Code for the paper: DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning [AAAI 2023 Oral]

ernie

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

exploiting-bert-thru-translation

Repository for "Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation" [ACM MM '21]

faulttree

knowledgebase_dataprocess

read data, then do some cleaning and human check, finally setup a KG database( jsondl ).At the same time, Analyze the distribution of entities and relationships, count the number of entities, relationships, and triples, and count the coverage of FVQA, OKVQA, and VQA2.0 in the currently built knowledge base

ktelebert

Code for the paper: Tele-Knowledge Pre-training for Fault Analysis

lako

LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection [ IJCKG 2022 ]

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

neuralkg

An Open Source Library for Diverse Representation Learning of Knowledge Graphs

research-method

论文写作与资料分享

ruge-grounding

scene-graph-benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

seqcsg

[Paper][ICANN 2023] Target-oriented Sentiment Classification with Sequential Cross-modal Semantic Graph

streamlit

Streamlit — A faster way to build and share data apps.

tabert

This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch