There are 2 repositories under pytorch-models topic.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Awesome-pytorch-list 翻译工作进行中......
PyTorch to Keras model convertor
Run PyTorch models in the browser using ONNX.js
Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.
A collection of Audio and Speech pre-trained models.
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
An open-source platform for automating tasks using machine learning models
This is a Flask + Docker deployment of the PyTorch-based Named Entity Recognition (NER) Model (BiLSTM-CRF) in the Medical AI.
Curated set of transformers that make your work with steppy faster and more effective :telescope:
Examples and tutorials to the steppy library
PyTorch Model Parser: Easily define models in .cfg file(s)
The Places205 and Places365 GoogleNet Caffe models converted to PyTorch
Using PyTorch to identify plagiarism in articles written about Data Science on the Medium platform
Models from Tensorflow and Keras converted to PyTorch
lightweight and efficient classification project based on pytorch-lightning
A plug 'n' play CTAugment wrapper that can be used with classification tasks using pytorch framework.
Physics-informed fire occurrence prediction using structured fire indices (ISI, FFMC, DMC, DC, BUI, FWI), and latent clustering. Implements an interpretable neural model fulfilling ISI’s predictive role. Stage 1 of a modular fire propagation modeling framework grounded in physical science. Resulted in a perfect 100% accuracy
The NIN-Imagenet model converted from Caffe to PyTorch
Old models from Caffe converted to PyTorch
Convert TensorFlow-based GPT-2 models to Pytorch in a breeze
A novel neural network architecture that extends Mixture of Experts (MoE) with hierarchical expert clustering, dynamic tree-based routing, and advanced reliability tracking for improved scalability, specialization, and robustness.
Implement PyTorch models : Model with no hidden layer, Model with single hidden layer, Deep model, Complex deep model
Insect image data analysis & modelling for classification/recognition purposes.
This Repository Implements Deep NMF using Autoencoders, to deblur the images.