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
Convert TensorFlow-based GPT-2 models to Pytorch in a breeze
This Repository Implements Deep NMF using Autoencoders, to deblur the images.
Utility functions and fluent interface for PyTorch tensors and modules
Implement PyTorch models : Model with no hidden layer, Model with single hidden layer, Deep model, Complex deep model
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.
The Places205 and Places365 GoogleNet Caffe models converted to PyTorch
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.
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