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deformable-detr icon deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

denseclip icon denseclip

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

deploy icon deploy

一个多服务器端口租用管理面板

dialoflow icon dialoflow

Code for ACL 2021 main conference paper "Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances".

dialoglue icon dialoglue

DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

dice icon dice

Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"

dictpool icon dictpool

Memory store like map[string]interface{} with better performance when reuse memory

diffaug icon diffaug

EMNLP 2022: Differentiable Data Augmentation for Contrastive Learning Sentence Representation Learning. https://arxiv.org/abs/2210.16536

diffcse icon diffcse

Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

diffpruning icon diffpruning

Parameter Efficient Transfer Learning with Diff Pruning

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

digital-pigeon icon digital-pigeon

A digital pigeon, send tempory messages with cloudflare workers. 咕咕传信,使用cloudflare workers来发送信息。可指定访问一定次数后删除记录,可以指定密钥加密,可用来交换一些临时但敏感的信息。 demo: https://digitalpigeon.aoyou.workers.dev/ https://msg.rmrf.online/

dim icon dim

Dim, a media manager fueled by dark forces.

dingdong icon dingdong

叮咚买菜助手, 直接下载并运行, 不需要安装环境, 不需要下载源码!!!

dinkytrain icon dinkytrain

Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃

dino icon dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

disco icon disco

[ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"

distributionbalancedloss icon distributionbalancedloss

Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)

dl-visuals icon dl-visuals

Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.

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