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Starred repositories
1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundation visual backbones.
Image augmentation for machine learning experiments.
A memory-efficient implementation of DenseNets
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Multi-layer convolutional LSTM with Pytorch
Classifying cat and dog images using Kaggle dataset
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
Curated list of awesome GAN applications and demo
An easy to follow course of OpenCV using Python for beginners.
Attention mechanism for processing sequential data that considers the context for each timestamp.
An implementation for attention model in Keras for sequence to sequence model.
Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Visualizing RNNs using the attention mechanism
all kinds of text classification models and more with deep learning
Attention-based bidirectional LSTM for Classification Task (ICASSP)
Keras Attention Layer (Luong and Bahdanau scores).
attention-based LSTM/Dense implemented by Keras
Matterport's Mask R-CNN library (Added Ship Detection sample) for object detection and instance segmentation on Keras and TensorFlow
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A faster pytorch implementation of faster r-cnn
Simple examples to introduce PyTorch
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.