Displaying 1 to 6 from 6 results

NeuronBlocks - NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

  •    Python

NeuronBlocks is a NLP deep learning modeling toolkit that helps engineers/researchers to build end-to-end pipelines for neural network model training for NLP tasks. The main goal of this toolkit is to minimize developing cost for NLP deep neural network model building, including both training and inference stages. NeuronBlocks consists of two major components: Block Zoo and Model Zoo.

PaddleClas - A treasure chest for visual recognition powered by PaddlePaddle

  •    Python

PaddleClas is an image recognition toolset for industry and academia, helping users train better computer vision models and apply them in real scenarios. A practical image recognition system consist of detection, feature learning and retrieval modules, widely applicable to all types of image recognition tasks. Four sample solutions are provided, including product recognition, vehicle recognition, logo recognition and animation character recognition.




attention-transfer - Improving Convolutional Networks via Attention Transfer (ICLR 2017)

  •    Jupyter

The code uses PyTorch https://pytorch.org. Note that the original experiments were done using torch-autograd, we have so far validated that CIFAR-10 experiments are exactly reproducible in PyTorch, and are in process of doing so for ImageNet (results are very slightly worse in PyTorch, due to hyperparameters). This section describes how to get the results in the table 1 of the paper.

Knowledge-Distillation-in-Keras - Demonstrates knowledge distillation for image-based models in Keras

  •    Jupyter

Interact with the all the results here. I am grateful to Aakash Kumar Nain for providing valuable feedback on the code.






We have large collection of open source products. Follow the tags from Tag Cloud >>


Open source products are scattered around the web. Please provide information about the open source projects you own / you use. Add Projects.