Computer Science and Programming

PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

68.6K views04:49

https://github.com/dsgiitr/graph_nets?fbclid=IwAR39aQbvMVhVxNCbQOoxkxdkYgnfd3tMuqzvWBqz048i8iE8Sjavcqbh56M

GitHub

GitHub - dsgiitr/graph_nets: PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE…

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT. - dsgiitr/graph_nets

73.3K views04:50

Computer Science and Programming

CARLA: An Open Urban Driving Simulator
Open-source simulator for autonomous driving

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69.1K views05:14

Computer Science and Programming

Paper: http://proceedings.mlr.press/v78/dosovitskiy17a/dosovitskiy17a.pdf

Code: https://github.com/carla-simulator/carla

74.6K views05:14

Computer Science and Programming

Set of free AI, ML, Deep Learning, Reinforcement Learning, Computer Vision, Statistics video lectures collections(last updated 20th February 2020 with 140 items)

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68.7K views04:09

Computer Science and Programming

https://www.marktechpost.com/free-ai-ml-deep-learning-video-lectures/?fbclid=IwAR0Yg2egB85ia-ZMxg_hQBghgVJFbc3Wf3s3qmWWlG-1I7QikH-ZDXA0Gn0

74.3K views04:10

Computer Science and Programming

Softmax Splatting for Video Frame Interpolation (using Pytorch)

69.7K views02:57

Computer Science and Programming

Paper:
https://arxiv.org/pdf/2003.05534.pdf

Github:
https://github.com/sniklaus/softmax-splatting

Short Summary:
https://www.marktechpost.com/2020/03/14/softmax-splatting-for-video-frame-interpolation/

GitHub

GitHub - sniklaus/softmax-splatting: an implementation of softmax splatting for differentiable forward warping using PyTorch

an implementation of softmax splatting for differentiable forward warping using PyTorch - sniklaus/softmax-splatting

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73.7K views02:58

Computer Science and Programming

Machine Learning for Everyone with great explanation

70.1K views08:15

Computer Science and Programming

https://vas3k.com/blog/machine_learning/?fbclid=IwAR3e3_Yy7LyEm7-Yqvuttx_zftCn5hL8NXBRSaut0gp7sT8AlxDbj-q3dNQ

and find other free-resources:
https://www.marktechpost.com/free-resources/?fbclid=IwAR2XJOTWGEdC9aFSRibXWZAZlLpJY9nmRnS_PDfNOgllc9o_mL3OxJaQleY

Vas3K

None

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80.7K views08:16

Computer Science and Programming

The Next Decade in AI:
Four Steps Towards Robust Artificial Intelligence.

73.1K views10:04

Computer Science and Programming

Gary Marcus
Robust AI
17 February 2020

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76.6K views10:05

Computer Science and Programming

Article link:
https://arxiv.org/ftp/arxiv/papers/2002/2002.06177.pdf

77.8K viewsedited 10:05

Computer Science and Programming

Important Tasks under Unsupervised Learning:

Clustering
Anomaly detection
Dimensionality reduction

and CS294-158 Deep Unsupervised Learning from Abbeel et al.

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73.1K viewsedited 01:20

Computer Science and Programming

Tasks under Unsupervised learning:
https://www.infinitycodex.in/

Deep Unsupervised Learning:

Lecture: https://youtu.be/JBb5sSC0JoY
Slides: https://bit.ly/34dVGE1
Colab: https://bit.ly/2JEzsl1

YouTube

L3 Flow Models -- CS294-158-SP20 Deep Unsupervised Learning -- UC Berkeley -- Spring 2020

Instructor: Pieter Abbeel
Course Instructor Team: Pieter Abbeel, Aravind Srinivas, Alex Li, Wilson Yan, Peter Chen, Jonathan Ho
Course website: https://sites.google.com/view/berkeley-cs294-158-sp20/home

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80K viewsedited 01:20

Computer Science and Programming

Paper:
https://drive.google.com/file/d/17ki_YAL1k5CaHHP3pIBFWvw-ztF4CCPP/view

Github:
https://github.com/vt-vl-lab/3d-photo-inpainting

Project:
https://shihmengli.github.io/3D-Photo-Inpainting/

Notebook:
https://colab.research.google.com/drive/1706ToQrkIZshRSJSHvZ1RuCiM__YX3Bz

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