Single Cell Pretrained Regulatory network INference from Transcripts
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Updated
Aug 7, 2024 - Jupyter Notebook
Single Cell Pretrained Regulatory network INference from Transcripts
Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation
总结Prompt&LLM论文,开源数据&模型,AIGC应用
Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)
Original implementations of the VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" by Jeen et. al (2024).
[CVPR2024] Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
[ICASSP 2024] VGDiffZero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders
Code for papers of "SG-ZSL", "PE-ZSL and "AZSL".
Task Generation Scheme for the Meta-Unsupervised Algorithm
Zero and Few shot named entity & relationships recognition
StyleAligned enables zero-shot style alignment in Text-to-Image (T2I) models using minimal attention sharing, ensuring consistent style transfer without fine-tuning.
Analysis of Unbalanced Slovenian Media News Outlets - Left vs. Right Wing
[ECCV 2024] The official repo for "SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders"
[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
Zero-shot Video Using Image Diffusion Models
DepthLens: This is a demo for DPT Beit-Large-512 used to estimate the depth of objects in images.
A collection of AWESOME things about domian adaptation
TextPredict is a powerful Python package designed for various text analysis and prediction tasks using advanced NLP models. It simplifies the process of performing sentiment analysis, emotion detection, zero-shot classification, named entity recognition (NER), and more.
The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.
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