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deep-learning-for-sensor-based-human-activity-recognition

Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

gtsam-examples

GTSAM Tutorial Examples

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hellogithub

:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

idea_vhdl

used VHDL to implement and simulate the IDEA-algorithm (International Data Encryption Algorithm). We will test the hardware-oriented implementations on the FPGA board. This algorithm dates from 1990 and is symmetric, i.e. it uses the same key for encryption and decryption. Four blocks of cleartext each 16 bit wide are encrypted at a time. The IDEA-algorithm consists of 8 steps of encryption (also called rounds) with a final output transformation. The necessary partial keys for each cycle and the final transformation are generated from a 128 bit long input key.

image-and-video-compression

Algorithms for compressing Image and Video

image-deblocking-ssrqc

Image deblocking method using structural sparse representation and quantization constraint

ivc_lab

TUM EI Master Course "Image and Video Compression Lab" in SS20

joyful-pandas

Pandas中文教程

pcc_2e

Online resources for Python Crash Course (Second Edition), from No Starch Press

pi-racing

pyhon2.0

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