10 Best and Free Machine Learning Courses, Online

https://www.kdnuggets.com/2019/12/best-free-machine-learning-courses-online.html

1. https://hottg.com/DeepLearning_ai

2. https://hottg.com/MachineLearning_Programming

4 Top AI/ML Github Repositories in November 2020

1. PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization: 2,558 Stars

2. Microsoft: Bring Old Photos Back To Life: 2892 Stars

3. Project Sherlock: 1952 Stars

1. https://towardsdatascience.com/4-top-ai-ml-github-repositories-in-november-2020-aa51656aaab9

2. https://hottg.com/DeepLearning_ai

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning.

1. https://lnkd.in/dXZWGUG

2. https://icml.cc/

3. https://hottg.com/DeepLearning_ai

NeurIPS 2020
NeurIPS (Neural Information Processing Systems), the largest machine learning and computational neuroscience conference will be held online on Dec 6-12.
https://crossminds.ai/explore/

join: https://hottg.com/DeepLearning_ai

https://hottg.com/MachineLearning_Programming

Code accompanying the NeurIPS 2020 oral paper

Network-to-Network Translation with Conditional Invertible Neural Networks

Paper: https://compvis.github.io/net2net/

source codes: https://github.com/CompVis/net2net?utm_source=Deep+Learning+Weekly&utm_campaign=b85cddf829-EMAIL_CAMPAIGN_2019_04_24_03_18_COPY_01&utm_medium=email&utm_term=0_384567b42d-b85cddf829-156293989

join: https://hottg.com/DeepLearning_ai

Link of those books : https://bit.ly/2HXmaTK

join: https://hottg.com/DeepLearning_ai

Real-Time Lane Detection and alerts for Autonomous Driving

medium: https://towardsdatascience.com/real-time-lane-detection-and-alerts-for-autonomous-driving-1f0a021390ee

paper: https://arxiv.org/pdf/1807.01726.pdf

github repo: https://github.com/MaybeShewill-CV/lanenet-lane-detection

Join: https://hottg.com/DeepLearning_ai

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net

https://deepai.org/publication/fast-and-furious-real-time-end-to-end-3d-detection-tracking-and-motion-forecasting-with-a-single-convolutional-net

Join: https://hottg.com/DeepLearning_ai

The top 10 computer vision papers in 2020 with video demos, articles, code, and paper reference.

https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html

Join: https://hottg.com/DeepLearning_ai

Multi-scale inference is commonly used to improve the results of semantic segmentation. combining multi-scale predictions. it to be roughly 4x more memory efficient to train than other recent approaches. In addition to enabling faster training, this allows us to train with larger crop sizes which leads to greater model accuracy.

Hierarchical Multi-Scale Attention for Semantic Segmentation

PyTorch implementation
Github: https://github.com/NVIDIA/semantic-segmentation

Video: https://www.youtube.com/watch?v=odAGA7pFBGA&feature=youtu.be

Paper: https://arxiv.org/abs/2005.10821

Method Details: https://www.cityscapes-dataset.com/method-details/?submissionID=7836

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500 AI Machine learning Deep learning Computer vision NLP Projects with code

This list is continuously updated. - You can take pull request and contribute.

https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

https://hottg.com/DeepLearning_ai

https://hottg.com/MachineLearning_Programming

MIT 6.S191 Introduction to Deep Learning 2021

Course Description MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!

ERFNet: Efficient Residual Factorized ConvNet for
Real-time Semantic Segmentation [Cited by 452]

paper:
http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf

github [PyTorch]:
https://github.com/Eromera/erfnet_pytorch