Popular GitHub Repositories for Joint

[CVPR 2025] Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis

:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

fastHan是基于fastNLP与pytorch实现的中文自然语言处理工具，像spacy一样调用方便。

PyTorch code for SpERT: Span-based Entity and Relation Transformer

Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

Joint Deep Matcher for Points and Lines ????? (ICCV 2023)

Real-time Joint Semantic Reasoning for Autonomous Driving

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

[ECCV 2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework

Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)

[CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.

BERT-NER (nert-bert) with google bert https://github.com/google-research.

slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet

NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.

Joint speech-language model - respond directly to audio!

An official implementation for " UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation"