ContextWithStructure

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.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

A High-Quality Real Time Upscaler for Anime Video

? GPU accelerated Neural networks in JavaScript for Browsers and Node.js

A MNIST-like fashion product database. Benchmark :point_down:

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

VIP cheatsheets for Stanford's CS 230 Deep Learning

Setup and customize deep learning environment in seconds.

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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.