Old models from Caffe converted to PyTorch
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Updated
Aug 22, 2020 - Python
Old models from Caffe converted to PyTorch
lightweight and efficient classification project based on pytorch-lightning
The Places205 and Places365 GoogleNet Caffe models converted to PyTorch
Implement PyTorch models : Model with no hidden layer, Model with single hidden layer, Deep model, Complex deep model
Utility functions and fluent interface for PyTorch tensors and modules
A plug 'n' play CTAugment wrapper that can be used with classification tasks using pytorch framework.
Insect image data analysis & modelling for classification/recognition purposes.
Models from Tensorflow and Keras converted to PyTorch
Using PyTorch to identify plagiarism in articles written about Data Science on the Medium platform
This is a Flask + Docker deployment of the PyTorch-based Named Entity Recognition (NER) Model (BiLSTM-CRF) in the Medical AI.
The NIN-Imagenet model converted from Caffe to PyTorch
PyTorch Model Parser: Easily define models in .cfg file(s)
Curated set of transformers that make your work with steppy faster and more effective 🔭
Examples and tutorials to the steppy library
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
A collection of Audio and Speech pre-trained models.
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.
An open-source platform for automating tasks using machine learning models
PyTorch to Keras model convertor
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