Curated List of Machine Learning Online Resources

During my time of learning machine learning, specially Deep Learning focused on Semantic Segmentation and Image Matting, I collected these useful bookmarks that I would like to share. I hope it helps you too.

machine learning, deep learning bookmarks: github links, tutorials, how-to guides, deep learning free courses, image datasets, personal blogs, community, books and more on various topics like machine learning, deep learning, object detection, image matting, alpha matting, convolutional neural network, datasets, semantic image segmentation etc.

Please feel free to explore these resources and bookmark the ones that best suit your learning and research needs in the field of machine learning and deep learning. Thank you

Open Images V7

Pascal VOC Dataset Mirror

Here is a mirror for the Pascal VOC files in case, you know, you want to download them at a somewhat decent rate.

Joseph Redmon

GitHub - DrSleep/tensorflow-deeplab-resnet: DeepLab-ResNet rebuilt in TensorFlow

DeepLab-ResNet rebuilt in TensorFlow. Contribute to DrSleep/tensorflow-deeplab-resnet development by creating an account on GitHub.

GitHubDrSleep

GitHub - CharlesShang/FastMaskRCNN: Mask RCNN in TensorFlow

Mask RCNN in TensorFlow . Contribute to CharlesShang/FastMaskRCNN development by creating an account on GitHub.

GitHubCharlesShang

How to do Semantic Segmentation using Deep learning

semantic segmentation is one of the key problems in the field of computer vision. This article is a comprehensive overview including a step-by-step guide to implement a deep learning image segmentation model.

Nanonets AI & Machine Learning BlogJames Le

Dense Semantic Image Segmentation with Objects and Attributes

Dense Semantic Image Segmentation with Objects and Attributes Shuai Zheng1 Ming-Ming Cheng1 Jonathan Warrell1 Paul Sturgess1 Vibhav Vineet1 Carsten Rother2 Philip H. S. Torr1 1Torr-Vision Group, …

Shuai Zheng ( 郑帅 )Permalink

GitHub - foamliu/Deep-Image-Matting: Deep Image Matting

Deep Image Matting. Contribute to foamliu/Deep-Image-Matting development by creating an account on GitHub.

GitHubfoamliu

GitHub - Tencent/tencent-ml-images: Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet - GitHub - Tencent/tencent-ml-images: Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on Im…

GitHubTencent

GitHub - allanzelener/YAD2K: YAD2K: Yet Another Darknet 2 Keras

YAD2K: Yet Another Darknet 2 Keras. Contribute to allanzelener/YAD2K development by creating an account on GitHub.

GitHuballanzelener

Machine Learning for Finance | Resource Stack

These high-quality learning resources can assist you in acquiring a comprehensive understanding of Machine Learning for Finance.

Resource Stack

Basic Statistics for Data Science Beginners

Learn basic statistics with this easy-to-follow tutorial, designed specifically for absolute beginners.

Written byEditorsSentimentClear

Recommended Python learning resources ✅

For people who have learned Python in the last few years, please edit this wiki topic to add information about what resources you found most useful. Please only include things that you personally have used and liked, and also mention what you liked about it. Once we have a list, I’ll do a poll to se…

fast.ai Course Forumsjeremy

Stanford University CS231n: Deep Learning for Computer Vision

CS231n Home

Welcome | Cognitive Class

Cognitive Class

Google Colab Free GPU Tutorial

Now you can develop deep learning applications with Google Colaboratory -on the free Tesla K80 GPU- using Keras, Tensorflow and PyTorch.

Deep Learning Turkeyfuat

Setting Up Google Cloud for Data Science

Learn to set up a data science environment on Google Cloud: create an instance on Google Compute Engine, install Anaconda and run Jupyter Notebooks!

DataCamp

Computer Vision: Algorithms and Applications, 2nd ed.

CS231n Convolutional Neural Networks for Visual Recognition

Course materials and notes for Stanford class CS231n: Convolutional Neural Networks for Visual Recognition.

Introduction - Deep Learning Wizard

We try to make learning deep learning, deep bayesian learning, and deep reinforcement learning math and code easier. Used by thousands.

Deep Learning WizardRitchie Ng

Machine Learning Glossary — ML Glossary documentation

GitHub - foamliu/Deep-Image-Matting: Deep Image Matting

Deep Image Matting. Contribute to foamliu/Deep-Image-Matting development by creating an account on GitHub.

GitHubfoamliu

GitHub - CharlesShang/FastMaskRCNN: Mask RCNN in TensorFlow

Mask RCNN in TensorFlow . Contribute to CharlesShang/FastMaskRCNN development by creating an account on GitHub.

GitHubCharlesShang

How to do Semantic Segmentation using Deep learning

semantic segmentation is one of the key problems in the field of computer vision. This article is a comprehensive overview including a step-by-step guide to implement a deep learning image segmentation model.

Nanonets AI & Machine Learning BlogJames Le

GitHub - Tencent/tencent-ml-images: Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet - GitHub - Tencent/tencent-ml-images: Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on Im…

GitHubTencent

Ritchie Ng

I am Ritchie Ng, a machine learning engineer specializing in deep learning and computer vision. Check out my code guides and keep ritching for the skies!

ritchieng.github.io

GitHub - dingzeyuli/knn-matting: Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.

Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines. - GitHub - dingzeyuli/knn-matting: Source Code for KNN Matting, CVP…

GitHubdingzeyuli

What do we learn from single shot object detectors (SSD, YOLOv3), FPN & Focal loss (RetinaNet)?

In part 2, we will have a comprehensive review of single shot object detectors including SSD and YOLO (YOLOv2 and YOLOv3). We will also…

MediumJonathan Hui

YOLO: Real-Time Object Detection

You only look once (YOLO) is a state-of-the-art, real-time object detection system.

Joseph Redmon

A listing of my articles in deep learning

Includes object detection, self-driving car, meta-learning etc …

MediumJonathan Hui

GitHub - allanzelener/YAD2K: YAD2K: Yet Another Darknet 2 Keras

YAD2K: Yet Another Darknet 2 Keras. Contribute to allanzelener/YAD2K development by creating an account on GitHub.

GitHuballanzelener

Computer Vision: Algorithms and Applications, 2nd ed.

Andrej Karpathy blog

Musings of a Computer Scientist.

Alex Krizhevsky

GitHub - cs231n/cs231n.github.io: Public facing notes page

Public facing notes page. Contribute to cs231n/cs231n.github.io development by creating an account on GitHub.

GitHubcs231n

FloydHub Blog

Deep Learning • Artificial Intelligence • Cloud GPUs

FloydHub Blog

Image Segmentation with Tensorflow using CNNs and Conditional Random Fields

Blog about Machine Learning and Computer Vision. Google Summer of Code blog posts. Scikit-image face detection algorithm implementation.

GitHub - d-grossman/joojanta200

Contribute to d-grossman/joojanta200 development by creating an account on GitHub.

GitHubd-grossman

Hiromi Suenaga – Medium

Read writing from Hiromi Suenaga on Medium. Every day, Hiromi Suenaga and thousands of other voices read, write, and share important stories on Medium.

MediumHiromi Suenaga

A 2017 Guide to Semantic Segmentation with Deep Learning

At Qure, we regularly work on segmentation and object detection problems and we were therefore interested in reviewing the current state of the art.In this post, I review the literature on semantic…

Go to websiteQure.ai Tech BlogTechnology notes from pioneers at Qure.aiSasank Chilamkurthy

Deep Image Matting

AbstractImage matting is a fundamental computer vision problem and has many applications. Previous algorithms have poor performance when an image has similar foreground and background colors or complicated textures. The main reasons are prior methods 1) only use low-level features and 2) lack

dlvc2018/assignments/assignment1/instructions.md at master · cpra/dlvc2018

Deep Learning for Visual Computing. Contribute to cpra/dlvc2018 development by creating an account on GitHub.

GitHubcpra

PyTorch Cheat Sheet — PyTorch Tutorials 2.0.1+cu117 documentation

What’s in an image: fast, accurate image segmentation with Cloud TPUs | Google Cloud Blog

We’re making it easier for you to use Cloud TPUs for image segmentation by releasing high-performance, open source TPU-optimized implementations of two state-of-the-art segmentation models.

Google Cloud

Google Colaboratory

Image Segmentation Using Computer Vision LearnOpenCV

A closer look at the definitions of Image Segmentation, Semantic Segmentation, Instance Segmentation, and Panoptic Segmentation.

LearnOpenCV – Learn OpenCV, PyTorch, Keras, Tensorflow with examples and tutorialsSatya Mallick

http://www.arxiv-sanity.com/

https://course.elementsofai.com/

http://www.inf.ufrgs.br/~eslgastal/SharedMatting/

https://www.nvidia.com/content/g/pdfs/nvidia-deeplearning-glossary-llkcmb.pdf