ComparativeStudy

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.

Python sample codes and textbook for robotics algorithms.

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

Autoware - the world's leading open-source software project for autonomous driving

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Setup and customize deep learning environment in seconds.

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.

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.