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deep-learning-pdf

deep-learning-with-python-notebooks

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

deep-learning-with-tensorflow-book-en

Open Source eBook for Deep Learning with TensorFlow 2.0+ version.

deeplearning-for-cv-starter

📘 Code follow-throughs and implementations for the book - "Deep Learning for computer vision", Starter bundle, by Dr. Adrian Rosebrock

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning-padhai

All the code files related to the deep learning course from PadhAI

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dl4cv2

Deep Learning for Computer Vision Practitioner Bundle examples and excercises

educative.io_courses

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

flutter-course-resources

Learn to Code While Building Apps - The Complete Flutter Development Bootcamp

flutter-for-beginners

Flutter for Beginners, published by Packt

fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

go-leetcode

A collection of 100+ popular LeetCode problems that I've solved in Go.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

hands-on-java-machine-learning-for-computer-vision

Hands-On Java Machine Learning for Computer Vision, published by Packt

handson-ml

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

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.

icassp19

Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"

imageprocessing-python

该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。

introduction-to-machine-learning

introduction-to-neural-networks

Yet another tutorial on neural networks

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

java-deep-learning-projects

Java Deep Learning Projects, published by Packt

learn-datascience-for-free

learning-generative-adversarial-networks

Learning-Generative-Adversarial-Networks, published by Packt

learning-opencv-3_examples

lectures

Lecture notes for EC 607

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

lihang-code

《统计学习方法》的代码实现