Curated List of Machine Learning Online Resources

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.
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.
GitHub - CharlesShang/FastMaskRCNN: Mask RCNN in TensorFlow
Mask RCNN in TensorFlow . Contribute to CharlesShang/FastMaskRCNN development by creating an account on GitHub.
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.
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, …
GitHub - foamliu/Deep-Image-Matting: Deep Image Matting
Deep Image Matting. Contribute to foamliu/Deep-Image-Matting development by creating an account on GitHub.
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…
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.
Machine Learning for Finance | Resource Stack
These high-quality learning resources can assist you in acquiring a comprehensive understanding of Machine Learning for Finance.
Basic Statistics for Data Science Beginners
Learn basic statistics with this easy-to-follow tutorial, designed specifically for absolute beginners.
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…
Stanford University CS231n: Deep Learning for Computer Vision
Welcome | 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.
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!
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.
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.
GitHub - CharlesShang/FastMaskRCNN: Mask RCNN in TensorFlow
Mask RCNN in TensorFlow . Contribute to CharlesShang/FastMaskRCNN development by creating an account on GitHub.
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.
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…
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!
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…
Alpha Matting Evaluation Website
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…
YOLO: Real-Time Object Detection
You only look once (YOLO) is a state-of-the-art, real-time object detection system.
A listing of my articles in deep learning
Includes object detection, self-driving car, meta-learning etc …
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.
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.
FloydHub Blog
Deep Learning • Artificial Intelligence • Cloud GPUs
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.
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.
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…
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.
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 Colaboratory
Image Segmentation Using Computer Vision LearnOpenCV
A closer look at the definitions of Image Segmentation, Semantic Segmentation, Instance Segmentation, and Panoptic Segmentation.

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

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