Compute homographies with deep networks instead of feature matching and RANSAC.

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

From Pixels to Torques: Policy Learning using Deep Dynamical Convolutional Neural Networks (DDCNN)

本项目是TensorFlow2.0学习笔记，主要参考官方文档，此外也添加个人许多个人使用心得体会等内容，本项目所有笔记也发布在博客园等平台，希望对你有所帮助。

A set of examples for using open source tools on IBM i

My own solutions for Stanford CS231n (2017) assignments

Code for 'The Grand Atari Challenge dataset' paper

Curso sobre Aprendizaje Profundo por Refuerzo en ECI 2019

Notebooks and files for the Python for Journalists course on Datajournalism.com

The source repository is at https://github.com/full-stack-deep-learning/fsdl-text-recognizer

Covid19-forecast

Remote photoplethysmography measures heart rate of a person without any contact, from their video. This is an implementation of rPPG called as Plane Orthogonal-to-Skin (POS) as described in the IEEE paper - "Algorithmic Principles of Remote PPG," W. Wang, A. C. den Brinker, S. Stuijk and G. de Haan.

🔥 Introductory PyTorch tutorials with OReilly Media.

Few of the essential image augmentation techniques.

Sources for some videos

Thailand Election'62 Candidate Information Browsing Website

Procedural terrain generation for video games has been traditionally been done with smartly designed but handcrafted algorithms that generate heightmaps. We propose a first step toward the learning and synthesis of these using recent advances in deep generative modelling with openly available satellite imagery from NASA.

An analysis of different intelligent control techniques (evolutionary alg., reinf. learn., neural networks) applied to robotic manipulators.

DEEP-LEARNING-practical-introduction-with-Keras