Ross Lee's starred repositories
deep-explanation-penalization
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
feature-importance-neural-networks
Variance-based Feature Importance in Neural Networks
hierarchical-dnn-interpretations
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" š§ (ICLR 2019)
pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
pytorch-template
PyTorch deep learning projects made easy.
kaggle-CrowdFlower
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
pytorch-trpo
PyTorch implementation of Trust Region Policy Optimization
deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
TextRecognitionDataGenerator
A synthetic data generator for text recognition
CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
TextFuseNet
A PyTorch implementation of "TextFuseNet: Scene Text Detection with Richer Fused Features".
training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINOā¢
text-detection-ctpn
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
Interpretable-FeedForward-CNNs
Interpretable Feedforward Convolutional Neural Networks: Implemented using Saab transform in cascade with Least Square Regressor for constructing the layers. Test on MNIST Handwritten digit dataset.
crnn-pytorch
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition using Pytorch
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers