An awesome face technology repository.
*[Papers]
*[Source codes]
*[MXNet]
*[PyTorch]
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2. https://github.com/becauseofAI/HelloFace
*[Papers]
*[Source codes]
*[MXNet]
*[PyTorch]
1. join us π@DeepLearning_AI
2. https://github.com/becauseofAI/HelloFace
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Artificial Intelligence && Deep Learning
Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact: @ai_adminn
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact: @ai_adminn
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Face Technology Repository
Detect AI-generated Images & Deepfakes (Part 1)
Who wants to be a millionaire? 2,913 competitors say so for the total one million prize money in the Deepfake Detection Challenge (DFDC). The goal of the March 2020 challenge is to create technologies that detect Deepfakes and manipulated media.
Join us π@DeepLearning_AI
2. https://medium.com/@jonathan_hui/detect-ai-generated-images-deepfakes-part-1-b518ed5075f4
Who wants to be a millionaire? 2,913 competitors say so for the total one million prize money in the Deepfake Detection Challenge (DFDC). The goal of the March 2020 challenge is to create technologies that detect Deepfakes and manipulated media.
Join us π@DeepLearning_AI
2. https://medium.com/@jonathan_hui/detect-ai-generated-images-deepfakes-part-1-b518ed5075f4
Medium
Detect AI-generated Images & Deepfakes (Part 1)
Who wants to be a millionaire? 2,913 competitors say so for the total one million prize money in the Deepfake Detection Challenge (DFDC)β¦
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Anomaly detection with Keras, TensorFlow, and Deep Learning (πwith source code)
In this tutorial, you will learn how to perform anomaly and outlier detection using autoencoders, Keras, and TensorFlow.
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3.https://www.pyimagesearch.com/2020/03/02/anomaly-detection-with-keras-tensorflow-and-deep-learning/
In this tutorial, you will learn how to perform anomaly and outlier detection using autoencoders, Keras, and TensorFlow.
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2. Join:https://www.facebook.com/groups/MachineLearningSource/
3.https://www.pyimagesearch.com/2020/03/02/anomaly-detection-with-keras-tensorflow-and-deep-learning/
PyImageSearch
Anomaly detection with Keras, TensorFlow, and Deep Learning - PyImageSearch
In this tutorial, you will learn how to perform anomaly and outlier detection using autoencoders, Keras, and TensorFlow.
Here are 450 Ivy League courses you can take online right now for free.
The eight Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia Universities, and the University of Pennsylvania.
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2. Join:https://www.facebook.com/groups/MachineLearningSource/
3.@ComputerScience_MachineLearning
https://www.freecodecamp.org/news/here-are-380-ivy-league-courses-you-can-take-online-right-now-for-free-9b3ffcbd7b8c/
The eight Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia Universities, and the University of Pennsylvania.
1.Join π@DeepLearning_ai
2. Join:https://www.facebook.com/groups/MachineLearningSource/
3.@ComputerScience_MachineLearning
https://www.freecodecamp.org/news/here-are-380-ivy-league-courses-you-can-take-online-right-now-for-free-9b3ffcbd7b8c/
freeCodeCamp.org
Here are 450 Ivy League courses you can take online right now for free
By Dhawal Shah The eight Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia Universities, and the University of Pennsylvania. All eight schools place...
OpenCV Text Detection (EAST text detector)
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3.@ComputerScience_MachineLearning
https://www.pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/?utm_source=facebook&utm_medium=ad-16-03-2020&utm_campaign=%7B%7Bcampaign.name%7D%7D&utm_content=%7B%7Bad.name%7D%7D&fbid_campaign=%7B%7Bcampaign.id%7D%7D&fbid_adset=%7B%7Badset.id%7D%7D&utm_adset=%7B%7Badset.name%7D%7D&fbid_ad=%7B%7Bad.id%7D%7D&fbclid=IwAR2gszIRlwWDQ6eQSU5IFjKF8FUbfGKNnXOP6gNlC5xZASL_r6ee83jR3tk
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3.@ComputerScience_MachineLearning
https://www.pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/?utm_source=facebook&utm_medium=ad-16-03-2020&utm_campaign=%7B%7Bcampaign.name%7D%7D&utm_content=%7B%7Bad.name%7D%7D&fbid_campaign=%7B%7Bcampaign.id%7D%7D&fbid_adset=%7B%7Badset.id%7D%7D&utm_adset=%7B%7Badset.name%7D%7D&fbid_ad=%7B%7Bad.id%7D%7D&fbclid=IwAR2gszIRlwWDQ6eQSU5IFjKF8FUbfGKNnXOP6gNlC5xZASL_r6ee83jR3tk
Detect AI-generated Images & Deepfakes (Part 2)
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* Part 1:ππ
https://medium.com/@jonathan_hui/detect-ai-generated-images-deepfakes-part-1-b518ed5075f4
* Part 2: πππ
https://medium.com/@jonathan_hui/detect-ai-generated-images-deepfakes-part-2-436c57eeb878
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* Part 1:ππ
https://medium.com/@jonathan_hui/detect-ai-generated-images-deepfakes-part-1-b518ed5075f4
* Part 2: πππ
https://medium.com/@jonathan_hui/detect-ai-generated-images-deepfakes-part-2-436c57eeb878
Medium
Detect AI-generated Images & Deepfakes (Part 1)
Who wants to be a millionaire? 2,913 competitors say so for the total one million prize money in the Deepfake Detection Challenge (DFDC)β¦
Top 21 Machine Learning Project Ideas for 2020 [Source Code Included]
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https://data-flair.training/blogs/machine-learning-project-ideas/
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2.Join π@ComputerScience_MachineLearning
https://data-flair.training/blogs/machine-learning-project-ideas/
DataFlair
Top 310+ Machine Learning Projects for 2025 [Source Code Included] - DataFlair
Check out machine learning projects with source code for beginners, freshers, and experienced to gain practical experience & become job ready
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How to detect defects on images
Building a visual quality control system to check your products on a few clicks with Convolutional Neural Networks and Ximilar platform.
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https://medium.com/swlh/how-to-detect-defects-on-images-16d6cf3ddc1a
Building a visual quality control system to check your products on a few clicks with Convolutional Neural Networks and Ximilar platform.
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2.Join π@ComputerScience_MachineLearning
https://medium.com/swlh/how-to-detect-defects-on-images-16d6cf3ddc1a
Medium
How to detect defects on images
Building visual quality control system to check your products on a few clicks with Convolutional Neural Networks and Ximilar platform.
Data Augmentation for Object detection: Rethinking image transforms for bounding boxes
1. Part 1: Basic Design and Horizontal Flipping
2. Part 2: Scaling and Translation
3. Part 3: Rotation and Shearing
4. Part 4: Baking augmentation into input pipelines
GitHub Repo
Everything from this article and the entire augmentation library can be found in the following GitHub Repo.
https://github.com/Paperspace/DataAugmentationForObjectDetection
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https://medium.com/paperspace/data-augmentation-for-object-detection-rethinking-image-transforms-for-bounding-boxes-fe229905a1c3
1. Part 1: Basic Design and Horizontal Flipping
2. Part 2: Scaling and Translation
3. Part 3: Rotation and Shearing
4. Part 4: Baking augmentation into input pipelines
GitHub Repo
Everything from this article and the entire augmentation library can be found in the following GitHub Repo.
https://github.com/Paperspace/DataAugmentationForObjectDetection
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https://medium.com/paperspace/data-augmentation-for-object-detection-rethinking-image-transforms-for-bounding-boxes-fe229905a1c3
GitHub
GitHub - Paperspace/DataAugmentationForObjectDetection: Data Augmentation For Object Detection
Data Augmentation For Object Detection. Contribute to Paperspace/DataAugmentationForObjectDetection development by creating an account on GitHub.
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Machine Learning and Data Science free online courses to do in quarantine
A. Beginner courses
1. Machine Learning
2. Machine Learning with Python
B. Intermediate courses
3. Neural Networks and Deep Learning
4. Convolutional Neural Networks
C. Advanced course
5. Advanced Machine Learning Specialization
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https://towardsdatascience.com/machine-learning-free-online-courses-from-beginner-to-advanced-f50982dce950
A. Beginner courses
1. Machine Learning
2. Machine Learning with Python
B. Intermediate courses
3. Neural Networks and Deep Learning
4. Convolutional Neural Networks
C. Advanced course
5. Advanced Machine Learning Specialization
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2.Join π@ComputerScience_MachineLearning
https://towardsdatascience.com/machine-learning-free-online-courses-from-beginner-to-advanced-f50982dce950
Awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
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https://github.com/ChanChiChoi/awesome-Face_Recognition#face-detection--face-segmentation
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
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https://github.com/ChanChiChoi/awesome-Face_Recognition#face-detection--face-segmentation
GitHub
GitHub - ChanChiChoi/awesome-Face_Recognition: papers about Face Detection; Face Alignment; Face Recognition && Face Identificationβ¦
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction...
Pytorch: Step by Step implementation 3D Convolution Neural Network
Leran on how to code a PyTorch implementation of 3d CNN
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https://towardsdatascience.com/pytorch-step-by-step-implementation-3d-convolution-neural-network-8bf38c70e8b3
Leran on how to code a PyTorch implementation of 3d CNN
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https://towardsdatascience.com/pytorch-step-by-step-implementation-3d-convolution-neural-network-8bf38c70e8b3
Medium
Pytorch: Step by Step implementation 3D Convolution Neural Network
Lern on how to code a PyTorch implementation of 3d CNN
The TensorFlow tutorials are written as Jupyter notebooks and run directly in Google Colabβa hosted notebook environment that requires no setup.
FROM BEGINNERS TO EXPERTS
* Source Codes
* Videos
* Libraries and extensions
https://www.tensorflow.org/tutorials
FROM BEGINNERS TO EXPERTS
* Source Codes
* Videos
* Libraries and extensions
https://www.tensorflow.org/tutorials
Measuring distance between objects in an image with OpenCV
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https://www.pyimagesearch.com/2016/04/04/measuring-distance-between-objects-in-an-image-with-opencv/?fbclid=IwAR3DVXClBY0N8Hdv17JdIfCCyo2tdxJp8dRistQdcV7-k_99qzR7IF0AQZE
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https://www.pyimagesearch.com/2016/04/04/measuring-distance-between-objects-in-an-image-with-opencv/?fbclid=IwAR3DVXClBY0N8Hdv17JdIfCCyo2tdxJp8dRistQdcV7-k_99qzR7IF0AQZE
PyImageSearch
Measuring distance between objects in an image with OpenCV - PyImageSearch
Discover how to measure the distance *between objects* (in inches, meters, etc.) in an image using OpenCV, Python, and computer vision + image processing.
β€1
Artificial Intelligence && Deep Learning
Pytorch: Step by Step implementation 3D Convolution Neural Network Leran on how to code a PyTorch implementation of 3d CNN 1.Join π@DeepLearning_ai 2.Join π@ComputerScience_MachineLearning https://towardsdatascience.com/pytorch-step-by-step-implementationβ¦
Guide how to learn and master computer vision in 2020
This post will focus on resources, which I believe will boost your knowledge in computer vision the most and mainly based on my own experience.
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https://towardsdatascience.com/guide-to-learn-computer-vision-in-2020-36f19d92c934
This post will focus on resources, which I believe will boost your knowledge in computer vision the most and mainly based on my own experience.
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https://towardsdatascience.com/guide-to-learn-computer-vision-in-2020-36f19d92c934
Medium
Guide how to learn and master computer vision
This post will focus on resources, which will boost your knowledge the most in the computer vision.
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Springer releases 65 Machine Learning and Data Science books for free
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https://techgrabyte.com/springer-released-65-machine-learning-data-science-books-free/?fbclid=IwAR1WhzfMHZenhUaXhYZHdLAn6y5MPJXGycF_qQ7NpGjHYFfAlNhojNR7w6g
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https://techgrabyte.com/springer-released-65-machine-learning-data-science-books-free/?fbclid=IwAR1WhzfMHZenhUaXhYZHdLAn6y5MPJXGycF_qQ7NpGjHYFfAlNhojNR7w6g
YOLOv4: Optimal Speed and Accuracy of Object Detection
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1. Paper Yolo v4: https://arxiv.org/abs/2004.10934
2. source code: https://github.com/AlexeyAB/darknet
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1. Paper Yolo v4: https://arxiv.org/abs/2004.10934
2. source code: https://github.com/AlexeyAB/darknet
GitHub
GitHub - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknetβ¦
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) - AlexeyAB/darknet
400+ textbooks free to download
CS books on Python, deep learning, data science & AI.
You are now only searching within the Free Textbooks and Library Link special issue during Covid 19 package
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3. http://bit.ly/SpringerCS