shadimsaleh Goto Github PK

cordova-plugin-local-notifications

Cordova Local-Notification Plugin

coursera-deep-learning-specialization

This course is created by deeplearning.ai. Master Deep Learning, and Break into AI

coursera-machine-learning

Coursera Machine Learning - Python code

coursera-python-for-everybody

Repo for coursera specialization Python for Everybody with Python by University of Michigan

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

cs373-programming-a-robotic-car

Udacity Class CS373

cs410-opencv-detection-tracking

OpenCV 3.1 Detection and Tracking of Vehicles(cars) and Pedestrians (Not complete).

cso

Calibration the rigid transformation between the stereo and odometry

cugraph_1.0.0

curl

Curl is a tool and libcurl is a library for transferring data with URL syntax, supporting FTP, FTPS, HTTP, HTTPS, GOPHER, TFTP, SCP, SFTP, TELNET, DICT, LDAP, LDAPS, FILE, IMAP, SMTP, POP3, RTSP and RTMP. libcurl offers a myriad of powerful features

darknet

Convolutional Neural Networks

data

PCD files for tutorials, examples, or PCL-related applications

data-science-books

data-structures-using-java

Telusko Youtube Videos

deep-learning-boot-camp

A community run, 5-day PyTorch Deep Learning Bootcamp

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-fundamentals

Deep Learning Fundamentals with Keras - IBM - edx courses

deep-learning-fundamentals-keras

IBM: DL0101EN: Deep Learning Fundamentals with Keras

deep-learning-fundamentals-with-keras

Deep learning using Keras

deep-learning-notes

Notes from the DeepLearning.AI courses

deep-learning-specialization-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-with-python

Deep learning is the machine learning technique behind the most exciting capabilities in diverse areas like robotics, natural language processing, image recognition and artificial intelligence (including the famous AlphaGo). In this course, you'll gain hands-on, practical knowledge of how to use deep learning with Keras 2.0, the latest version of a cutting edge library for deep learning in Python.

deep-learning-with-python-cn

Deep Learning with Python 中文翻译

deep-learning-with-tensorflow

Deep Learning with TensorFlow by Packt

deep-neural-networks-with-pytorch

Deep Neural Networks with PyTorch course by IBM on Coursera

deeplearning-ai-master

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

deeplearning.ai-1

In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI. Created by: Deeplearning.AI

deeplearning.ai-coursera-master

deeplearningbookcode-volume2

Python/Jupyter notebooks for Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner