haaaein

haaaein's Stars

• AGI-Edgerunners/LLM-Agents-Papers

  A repo lists papers related to LLM based agent

  Language:Python1.1k74

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python26.9k3k

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook14.7k2.1k

• agiresearch/OpenAGI

  OpenAGI: When LLM Meets Domain Experts

  Language:Python2k163

• LijieFan/LaCLIP

  [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"

  Language:Python2577

• jeykigung/VIP5

  Language:Python404

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.9k

• jeykigung/P5

  Language:Python31143

• RUCAIBox/RecBole

  A unified, comprehensive and efficient recommendation library

  Language:Python3.4k613

• HKUDS/SSLRec

  [WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

  Language:Python46258

• HKUDS/DCRec

  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"

  Language:Python546

• HKUDS/MMSSL

  [WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"

  Language:Python16620

• hssip/FashionSAP

  CVPR2023 paper

  Language:Python506

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.2k298

• meta-llama/llama

  Inference code for Llama models

  Language:Python56.3k9.6k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.2k975

• khaledlec/Transformers-and-spaCy-in-fashion

  this tutorial is about Training a custom NER model with spaCy Using it's pre-trained transformer model in order to extract fashion related entities such us colors, print and patterns, product types...from clothing texts.

  Language:Jupyter Notebook2

• eXascaleInfolab/fashion_nlp_v2

  FashionBrain D2.1: Named Entity Recognition and Linking Methods

  Language:Python124

• KeremTurgutlu/clip_art

  CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification - 4th Workshop on Computer Vision for Fashion, Art, and Design

  272

• SparkJiao/MG-PFCM_outfit_rec

  Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning.

  Language:Python154

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.8k785

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25.7k3.3k

• LambdaLabsML/examples

  Deep Learning Examples

  Language:Jupyter Notebook807104

• serengil/deepface

  A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

  Language:Python14.2k2.2k

• xushilin1/FashionFormer

  Code for our ECCV-2022 work: Fashionformer A simple, effective and unified baseline for human fashion segmentation and recognition

  Language:Python9117

• yestaehyung/V_DAT_Front

  Language:Vue1

• yestaehyung/V_DAT_Backend

  Language:Jupyter Notebook1

• yestaehyung/yestaehyung

  Personal Repository

  2

• facebook/react

  The library for web and native user interfaces.

  Language:JavaScript229k46.8k

• aalmah/augmented_cyclegan

  Language:Python13136