TensorFlow Basic Tutorial Labs
Visualizer for neural network, deep learning and machine learning models
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.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
State-of-the-art 2D and 3D Face Analysis Project
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
ncnn is a high-performance neural network inference framework optimized for the mobile platform
? A ranked list of awesome machine learning Python libraries. Updated weekly.
Open standard for machine learning interoperability
A neural network that transforms a design mock-up into a static website.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
