Course from MIT 6.S191 "Introduction to Deep Learning".
Methods and applications in game play, medicine, language, art, computer vision, robotics and more
Methods and applications in game play, medicine, language, art, computer vision, robotics and more
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Article:
https://www.microsoft.com/en-us/research/blog/zero-deepspeed-new-system-optimizations-enable-training-models-with-over-100-billion-parameters/
Github:
https://github.com/microsoft/DeepSpeed
https://www.microsoft.com/en-us/research/blog/zero-deepspeed-new-system-optimizations-enable-training-models-with-over-100-billion-parameters/
Github:
https://github.com/microsoft/DeepSpeed
Microsoft Research
ZeRO & DeepSpeed: New system optimizations enable training models with over 100 billion parameters - Microsoft Research
The latest trend in AI is that larger natural language models provide better accuracy; however, larger models are difficult to train because of cost, time, and ease of code integration. Microsoft is releasing an open-source library called DeepSpeed, which…
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DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
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Paper link, Blog and code are at their Github page:
https://xbpeng.github.io/projects/DeepMimic/index.html?fbclid=IwAR3SaHAM-nii9UcpBJsWH-w7swuJudV9ouC7Ige8iuZDF0lbBy4ThchKhTo
https://xbpeng.github.io/projects/DeepMimic/index.html?fbclid=IwAR3SaHAM-nii9UcpBJsWH-w7swuJudV9ouC7Ige8iuZDF0lbBy4ThchKhTo
CARLA: An Open Urban Driving Simulator
Open-source simulator for autonomous driving
Open-source simulator for autonomous driving
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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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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/
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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The Next Decade in AI:
Four Steps Towards Robust Artificial Intelligence.
Four Steps Towards Robust Artificial Intelligence.
Important Tasks under Unsupervised Learning:
Clustering
Anomaly detection
Dimensionality reduction
and CS294-158 Deep Unsupervised Learning from Abbeel et al.
Clustering
Anomaly detection
Dimensionality reduction
and CS294-158 Deep Unsupervised Learning from Abbeel et al.
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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
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
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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