multimodal-learning
17 projetos partilham este topic do GitHub
Linhas conectam membros que estão mensuravelmente relacionados entre si. O tamanho do ponto reflete estrelas.
🧬 Membros
maths-cs-ai-compendium
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and…
★ 7.2k
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
★ 6.9k
open_flamingo
An open-source framework for training large multimodal models.
★ 4.1k
Awesome-Multimodal-Research
A curated list of Multimodal Related Research.
★ 1.4k
CLIP4Clip
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
★ 1k
awesome-multimodal-in-medical-imaging
A collection of resources on applications of multi-modal learning in medical imaging.
★ 973
ICCV-2023-25-Papers
ICCV 2023-2025 Papers: Discover cutting-edge research from ICCV 2023-25, the leading computer vision…
★ 968
MultiBench
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
★ 635
MMMU
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding…
★ 590
Multimodal-RAG-Survey
A Survey on Multimodal Retrieval-Augmented Generation
★ 537
ICASSP-2023-24-Papers
ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP…
★ 525
XPretrain
Multi-modality pre-training
★ 511
pykale
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for…
★ 487
OMML
Multi-Modal learning toolkit based on PaddlePaddle and PyTorch, supporting multiple applications such as…
★ 477
CM3Leon
An open source implementation of "Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction…
★ 365
Awesome-Multimodal-LLM
Research Trends in LLM-guided Multimodal Learning.
★ 355
Awesome-Multimodal-Papers
A curated list of awesome Multimodal studies.
★ 343
🔗 Familias relacionadas
Medido a partir dos tópicos do GitHub compartilhados por ambos os projetos, ponderado pela raridade de cada tópico.