Repository Index

A TensorFlow implementation of the Mnemonic Descent Method.

• tensorflow
• menpo
• face
• face-alignment

tutorials made for biologists to learn deep learning

• biologists
• keras
• deeplearning
• deep-learning

Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.

• data-science
• deep-learning
• finance
• financial-data

Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders

• epigenomics
• pattern-search
• data-visualization
• interactive-machine-learning

Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications

• cell-annotation
• multiplexed-imaging
• mpif

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

• fine-tuning
• vgg16
• resnet18
• densenet121

Deep learning model for single-cell inference of multi-omic profiles from a single input modality.

• single-cell
• scrna-seq
• scatac-seq
• deep-neural-networks

Mobile Deep Learning Projects, published by Packt

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

• ios
• coreml
• coreml-framework
• swift

Exploring the space of drug combinations to discover synergistic drugs using Active Learning

American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.

• asl
• keras
• tensroflow
• tflite

A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.

An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.

• tensorflow-lite
• tflite
• computer-vision
• deep-learning

Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.