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pretrained-models

Here are 646 public repositories matching this topic...

PaddleNLP

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

  • Updated May 22, 2024
  • Python
superduperdb

🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

  • Updated May 22, 2024
  • Python

Library for handling atomistic graph datasets focusing on transformer-based implementations. It provides utilities for training various models, experimenting with different pre-training tasks, and a suite of pre-trained models with huggingface integrations.

  • Updated May 21, 2024
  • Python

The Brain Tumor MRI Dataset from Kaggle is employed for automated brain tumor detection and classification research. Investigated methods include using pre-trained models (VGG16, ResNet50, and ViT). 🧠🔍

  • Updated May 21, 2024
  • Jupyter Notebook

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  • Updated May 21, 2024
  • Python

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