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The year 2024 is the year of cryptoπ Many coins are set to rocket by 20-100x from their current value. This is not an opportunity to be missed!
Harry shares life hacks for smart investing and selecting the top-tier projects during the bull runπ₯π₯Everyone can build significant capital, even if you're a beginner
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Harry shares life hacks for smart investing and selecting the top-tier projects during the bull runπ₯π₯Everyone can build significant capital, even if you're a beginner
Join my friend's channel to stay on top of the trends and not miss out on profitable projects: https://t.me/+MCO0nfuEfW4wYTlk
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Alibaba's LLM model was recently updated to version 72B after training on a staggering 3 trillion tokens of multilingual data.
This AI marvel can be run locally for complete control and privacy (and speed if you have a powerful GPU)
The image shows a comparison of the characteristics of Qwen 72B with Llama 70B, with GPT-3.5 and GPT-4
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I use this website that turns skills into profit.
But 99% freelancers will never tell you about this secret tool (no one likes competition)
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πSimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
π Publish year: 2023
π§βπ»Authors: Keyu Duan, Qian Liu,Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He
π’Universities: ENational University of Singapore, The Hong Kong University of Science and Technology
π Study the paper
π» Code
β
https://t.me/DataScienceT
π Publish year: 2023
π§βπ»Authors: Keyu Duan, Qian Liu,Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He
π’Universities: ENational University of Singapore, The Hong Kong University of Science and Technology
π Study the paper
π» Code
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π₯ Large selection of interview questions on DS, AI, ML, DL, NLP, computer vision.
β Machine learning interview questions and answers for data scientists
β Deep Learning Interview Questions and Answers for Data Scientists
β Statistics questions
β Questions on probability theory
β Repository for a line of online courses on statistics
β Questions and answers for data scientists in Python
β SQL and DB Interview Questions and Answers for Data Scientists
Questions Based on Resumes
β Large Language Model (LLM) Interview Questions and Answers
β Questions and answers to interviews on computer vision part 1
β Computer vision interview questions and answers part 2
β Questions and answers to computer vision interviews part 3
π More likes π¦ β‘οΈ more posts
βοΈ http://t.me/codeprogrammer β
β Machine learning interview questions and answers for data scientists
β Deep Learning Interview Questions and Answers for Data Scientists
β Statistics questions
β Questions on probability theory
β Repository for a line of online courses on statistics
β Questions and answers for data scientists in Python
β SQL and DB Interview Questions and Answers for Data Scientists
Questions Based on Resumes
β Large Language Model (LLM) Interview Questions and Answers
β Questions and answers to interviews on computer vision part 1
β Computer vision interview questions and answers part 2
β Questions and answers to computer vision interviews part 3
π More likes π¦ β‘οΈ more posts
βοΈ http://t.me/codeprogrammer β
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Taming Stable Diffusion for Text to 360Β° Panorama Image Generation
π₯ Github: https://github.com/chengzhag/panfusion
π Paper: https://arxiv.org/abs/2404.07949v1
π₯ Dataset: https://chengzhag.github.io/publication/panfusion/
β
https://t.me/DataScienceT
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EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
π₯ Github: https://github.com/Chris10M/EventEgo3D
π Paper: https://arxiv.org/abs/2404.08640v1
π₯Dataset: https://paperswithcode.com/task/3d-human-pose-estimation
π₯ Github: https://github.com/Chris10M/EventEgo3D
π Paper: https://arxiv.org/abs/2404.08640v1
π₯Dataset: https://paperswithcode.com/task/3d-human-pose-estimation
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π₯ Github: https://github.com/PixArt-alpha/PixArt-sigma
π₯Demo: https://huggingface.co/spaces/PixArt-alpha/PixArt-Sigma
π₯ Github: https://github.com/PixArt-alpha/PixArt-sigma
π₯Demo: https://huggingface.co/spaces/PixArt-alpha/PixArt-Sigma
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β¨ HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
A new model for transferring a hairstyle from a reference image to a source photo for a virtual fitting room.
βͺ Paper : https://arxiv.org/abs/2404.01094
βͺ Code : https://github.com/AIRI-Institute/HairFastGAN
βͺ Colab : https://colab.research.google.com/#fileId=https%3A//huggingface.co/AIRI-Institute/HairFastGAN/blob/main/notebooks/HairFast_inference.ipynb
β
https://t.me/DataScienceT
A new model for transferring a hairstyle from a reference image to a source photo for a virtual fitting room.
βͺ Paper : https://arxiv.org/abs/2404.01094
βͺ Code : https://github.com/AIRI-Institute/HairFastGAN
βͺ Colab : https://colab.research.google.com/#fileId=https%3A//huggingface.co/AIRI-Institute/HairFastGAN/blob/main/notebooks/HairFast_inference.ipynb
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Forwarded from Machine Learning
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