Paper:
https://arxiv.org/pdf/2001.05613.pdf
Project page:
http://www.ynl.t.u-tokyo.ac.jp/research/vmocap-syn/
Dataset will be available publicly soon
https://arxiv.org/pdf/2001.05613.pdf
Project page:
http://www.ynl.t.u-tokyo.ac.jp/research/vmocap-syn/
Dataset will be available publicly soon
π2
More than 200 NLP datasets - this is gold (last update 21.01.202)
https://quantumstat.com/dataset/dataset.html
and also Google provided dataset search tool for publicly available datasets:
https://datasetsearch.research.google.com/
https://quantumstat.com/dataset/dataset.html
and also Google provided dataset search tool for publicly available datasets:
https://datasetsearch.research.google.com/
End to End Machine Learning: From Data Collection to Deployment.
- Collect and scrape data with Scrapy / Selenium
- Train a deep character CNN for (English) sentiment analysis using PyTorch
- Build an interactive web app with Dash to serve the model in real-time
- Put everything in Docker Compose
- Deploy to AWS on a custom domain name
- Collect and scrape data with Scrapy / Selenium
- Train a deep character CNN for (English) sentiment analysis using PyTorch
- Build an interactive web app with Dash to serve the model in real-time
- Put everything in Docker Compose
- Deploy to AWS on a custom domain name
π1
https://towardsdatascience.com/end-to-end-machine-learning-from-data-collection-to-deployment-ce74f51ca203
If you want to play with the app and see how it looks like:
π»Demo: https://www.reviews.ai2prod.com/
Code:
https://github.com/MarwanDebbiche/post-tuto-deployment
If you want to play with the app and see how it looks like:
π»Demo: https://www.reviews.ai2prod.com/
Code:
https://github.com/MarwanDebbiche/post-tuto-deployment
Medium
End to End Machine Learning Tutorial β From Data Collection to Deployment π
Learn how to build and deploy a machine learning application from scratch. An end-to-end tutorial on data scraping, modeling and deployment
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This video is synthetic and was created using deep learning
β€1
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
π3
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, whichβ¦
π1
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DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
π1
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
π1
Set of free AI, ML, Deep Learning, Reinforcement Learning, Computer Vision, Statistics video lectures collections(last updated 20th February 2020 with 140 items)
π1
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
π1