Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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Largest list of models for Core ML (for iOS 11+)
- coreml
- coreml-model
- apple
- machine-learning
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
- caffe
- colorization
- automatic-colorization
- deep-learning
Caffe models in TensorFlow
git-cola: The highly caffeinated Git GUI
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
- caffe
- mtcnn
MCP server for spatial transcriptomics analysis through natural language interfaces.
- bioinformatics
- cell-communication
- deconvolution
- machine-learning
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
- bioinformatics
- cell-type-deconvolution
- computational-biology
- deconvolution