hunxuewangzi

hunxuewangzi's Stars

• OSU-NLP-Group/HippoRAG

  HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents.

  Language:Python76866

• zjunlp/IEPile

  [ACL 2024] IEPile: A Large-Scale Information Extraction Corpus

  Language:Python1278

• czbiohub-sf/tabula-muris-senis

  Tabula Muris Senis

  Language:Jupyter Notebook9226

• czbiohub-sf/tabula-muris

  Code and annotations for the Tabula Muris single-cell transcriptomic dataset.

  Language:HTML18289

• SZU-AdvTech-2023/099-Deep-Transfer-Learning-of-Cancer-Drug-Responses-by-Integrating-Bulk-and-Single-Cell-RNA-Seq-Data

  Language:Jupyter Notebook1

• ZJUFanLab/scRank

  A computational method to rank and infer drug-responsive cell population towards in-silico drug perturbation using a target-perturbed gene regulatory network (tpGRN) for single-cell transcriptomic data

  Language:R24

• deeplearningplus/tGPT

  Generative Pretraining from Transcriptomes

  Language:Jupyter Notebook92

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python19.4k2.4k

• TencentAILabHealthcare/scBERT

  Language:Python24855

• MingzeDong/scShift

  Language:Jupyter Notebook42

• HelloWorldLTY/MuSe-GNN

  [NeurIPS 2023] Official codes of "MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data"

  Language:Python20

• snap-stanford/GEARS

  GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

  Language:Python17536

• cx0/geneformer-finetune

  Language:Jupyter Notebook10

• MehrabGBari/tarnsformer_single_cell_data

  transformer_single_cell_data

  Language:Jupyter Notebook1

• microsoft/zero-shot-scfoundation

  Language:Jupyter Notebook398

• SabbaghCodes/ImbalancedLearningForSingleCellFoundationModels

  Code for the benchmarking single-cell foundation models (scGPT, scBERT, and Geneformer) for cell-type annotation task using skewed single-cell cell-type distribution data.

  Language:Jupyter Notebook71

• Teichlab/TissueImmuneCellAtlas

  Language:Jupyter Notebook84

• Jackson-Kang/Pytorch-VAE-tutorial

  A simple tutorial of Variational AutoEncoders with Pytorch

  Language:Jupyter Notebook27868

• theislab/scgen-reproducibility

  Language:Jupyter Notebook188

• imsb-uke/scGAN

  Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks

  Language:Python7525

• EperLuo/scDiffusion

  A model developed for the generation of scRNA-seq data

  Language:Jupyter Notebook213

• TinyLLaVA/TinyLLaVA_Factory

  A Framework of Small-scale Large Multimodal Models

  Language:Python47439

• jingcheng-du/Gene2vec

  Gene2Vec: Distributed Representation of Genes Based on Co-Expression

  Language:Python9626

• SuperBianC/scMulan

  Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.

  Language:Jupyter Notebook314

• ZhangXInFD/SpeechTokenizer

  This is the code for the SpeechTokenizer presented in the SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models. Samples are presented on

  Language:Python35931

• 0nutation/SpeechGPT

  SpeechGPT Series: Speech Large Language Models

  Language:Python1k64

• eric-ai-lab/MiniGPT-5

  Official implementation of paper "MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens"

  Language:Python83251

• luogen1996/LaVIN

  [NeurIPS 2023] Official implementations of "Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models"

  Language:Python49137

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python17.9k1.9k

• showlab/Awesome-MLLM-Hallucination

  📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).

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