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attendance

collection

My favorite collection(pdf、dmg、mp3)

coursera-deep-learning

Deep Learning specialization by Andrew Ng on Coursera

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

deep-learning-specialization

Coursera : Deep Learning Specialization by Andrew Ng

deep-learning-specialization-coursera

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

deep_learning

Deep Learning - Code Hub: A repository for deep learning projects which includes simple basic functions, experimental projects and paper implementations.

deeplearning.ai

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

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

deepslide_gj

easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

image-encryption-chaos-maps

This is a project in cryptography that involves implementing image encryption using various chaos maps and comparing their merits based on key sensitivity,

invisible-image-watermarking

automatic invisible watermarking of image using QR code to embed the information.

invisible-water

An implementation of two invisible watermarking schemes using python.

invisible-watermark-gj

python library for invisible image watermark (blind image watermark)

porcupine

Visual programming for neuroimaging analysis

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

storysellogj

testgj

userfacet_1

userfacet_front_end

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