Open standard for machine learning interoperability
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.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
📚 Learn ML with clean code, simplified math and illustrative visuals.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Visualizer for neural network, deep learning, and machine learning models
A neural network that transforms a design mock-up into a static website.