Mixture-of-Embedding-Experts

Video text retrieval model

An open-source implementation of the Mixture-of-Embeddings-Experts model in Pytorch for video-text retrieval tasks.

Mixture-of-Embeddings-Experts

GitHub

118 stars
8 watching
15 forks
Language: Python
last commit: about 6 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
pku-yuangroup/moe-llavaA large vision-language model using a mixture-of-experts architecture to improve performance on multi-modal learning tasks2,023
xverse-ai/xverse-moe-a4.2bDeveloped by XVERSE Technology Inc. as a multilingual large language model with a unique mixture-of-experts architecture and fine-tuned for various tasks such as conversation, question answering, and natural language understanding.36
antoine77340/howto100mProvides code and tools for learning joint text-video embeddings using the HowTo100M dataset254
shi-labs/cumoA method for scaling multimodal large language models by combining multiple experts and fine-tuning them together136
davidtvs/pytorch-enetA PyTorch implementation of a real-time semantic segmentation model using ENet architecture392
auspicious3000/contentvecAn implementation of a self-supervised speech representation model using PyTorch and disentangled speaker embeddings471
jayleicn/clipbertAn efficient framework for end-to-end learning on image-text and video-text tasks709
javeywang/pyramid-attention-networks-pytorchAn implementation of a deep learning model using PyTorch for semantic segmentation tasks.237
jwieting/iclr2016Code for training universal paraphrastic sentence embeddings and models on semantic similarity tasks193
media-smart/vedasegA PyTorch-based toolbox for building and training semantic segmentation models408
sergioburdisso/pyss3A Python package implementing an interpretable machine learning model for text classification with visualization tools336
materialsintelligence/mat2vecUnsupervised word embeddings capture latent knowledge from materials science literature624
tiger-ai-lab/uniirTrains and evaluates a universal multimodal retrieval model to perform various information retrieval tasks.114
clementpinard/sfmlearner-pytorchPytorch implementation of unsupervised depth and ego-motion learning from video sequences1,022
johngiorgi/declutrA tool for training and evaluating sentence embeddings using deep contrastive learning380