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π BayesDLL: Bayesian Deep Learning Library
New Bayesian neural network library for PyTorch for large-scale deep network
π₯ Github: https://github.com/samsunglabs/bayesdll
π Paper: https://arxiv.org/abs/2309.12928v1
βοΈ Dataset: https://paperswithcode.com/dataset/oxford-102-flower
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π BayesDLL: Bayesian Deep Learning Library
New Bayesian neural network library for PyTorch for large-scale deep network
π₯ Github: https://github.com/samsunglabs/bayesdll
π Paper: https://arxiv.org/abs/2309.12928v1
βοΈ Dataset: https://paperswithcode.com/dataset/oxford-102-flower
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Here is the list of some important SQL interview Questions for Freshers π₯
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Here is the list of some important SQL interview Questions for Freshers π₯
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Machine Learning models cheatsheet π
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Machine Learning models cheatsheet π
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Examples of AI being used in ways that raise ethical concern!!
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Examples of AI being used in ways that raise ethical concern. #ai #machinelearning #aiethics
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Data Science Interview Questions π₯
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Data Science Interview Questions π₯
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Cheatsheet for Machine Learning
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Cheatsheet for Machine Learning
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Examples of AI being used in ways that raise ethical concern!!(2)
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Examples of AI being used in ways that raise ethical concern!! (2) #ai #machinelearning #aiethics
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Types of Databases
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Types of Databases
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β SSLRec: A Self-Supervised Learning Library for Recommendation
SSLRec, a novel benchmark platform that provides a standardized, flexible, and comprehensive framework for evaluating various SSL-enhanced recommenders.
π₯ Github: https://github.com/hkuds/sslrec
π Paper: https://arxiv.org/abs/2308.05697v1
β Models: https://github.com/HKUDS/SSLRec/blob/main/docs/Models.md
βοΈ Datasets: https://github.com/HKUDS/SSLRec/blob/main/docs/Models.md
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β SSLRec: A Self-Supervised Learning Library for Recommendation
SSLRec, a novel benchmark platform that provides a standardized, flexible, and comprehensive framework for evaluating various SSL-enhanced recommenders.
π₯ Github: https://github.com/hkuds/sslrec
π Paper: https://arxiv.org/abs/2308.05697v1
β Models: https://github.com/HKUDS/SSLRec/blob/main/docs/Models.md
βοΈ Datasets: https://github.com/HKUDS/SSLRec/blob/main/docs/Models.md
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New Video!! Watch Now!!π
K-Means Clustering explained!!
https://youtu.be/ze-MSKcwlbk?si=Dfz-SwKzjUiYtqPt
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K-Means Clustering explained!!
https://youtu.be/ze-MSKcwlbk?si=Dfz-SwKzjUiYtqPt
@Artificial_intelligence_ai
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Data Structure Cheatsheet
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Data Structure Cheatsheet
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An overview of Machine Learning Algorithms π₯
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An overview of Machine Learning Algorithms π₯
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Most important equations in Data Science π₯
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Most important equations in Data Science π₯
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Now you can read your X-Rays with Ai.
Google Health announced Multimodal medical AI.
This means AI tools can handle multiple types of content, from text and images to sound and video, making them more versatile for medical use.
They've introduced different approaches to enhance AI's capabilities;
- a combination of models and LLMs. This development could greatly benefit medical research, education, and patient care.
Learn more here: https://ai.googleblog.com/2023/08/multimodal-medical-ai.html?linkId=8927847&m=1
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
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Now you can read your X-Rays with Ai.
Google Health announced Multimodal medical AI.
This means AI tools can handle multiple types of content, from text and images to sound and video, making them more versatile for medical use.
They've introduced different approaches to enhance AI's capabilities;
- a combination of models and LLMs. This development could greatly benefit medical research, education, and patient care.
Learn more here: https://ai.googleblog.com/2023/08/multimodal-medical-ai.html?linkId=8927847&m=1
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://www.tgoop.com/Artificial_intelligence_AI
How to Promote Ethical AI?
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End to end Lifecycle of ML Models π
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End to end Lifecycle of ML Models π
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisions on how to move from one point to another.