π Dataset: https://paperswithcode.com/dataset/behave
https://t.me/DataScienceT
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Forwarded from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0οΈβ£ Python
1οΈβ£ Data Science
2οΈβ£ Machine Learning
3οΈβ£ Data Visualization
4οΈβ£ Artificial Intelligence
5οΈβ£ Data Analysis
6οΈβ£ Statistics
7οΈβ£ Deep Learning
8οΈβ£ programming Languages
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https://t.me/addlist/8_rRW2scgfRhOTc0
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https://t.me/Python53
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β‘οΈ EMO-Disentanger
π₯ Github: https://github.com/yuer867/emo-disentanger
π Paper: https://arxiv.org/abs/2407.20955v1
π Dataset: https://paperswithcode.com/dataset/emopia
https://t.me/DataScienceTβοΈ
π Dataset: https://paperswithcode.com/dataset/emopia
https://t.me/DataScienceT
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π¨π»βπ» Have you ever thought about what makes artificial intelligence projects and machine learning models work better and smarter? The answer is simple: quality data!
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β
β
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π2
bc1qgjmr3ffh48jw5vw2tqad9useumutt5tql0pa6wTMzAr8AFcZ1n5RXZa3BHPXHBRqugx9Skr7UQAVMaOmfh8vsaXTykpBX45A3tsYv4Guo09eMw1Tl_uSYFcqhttps://www.paypal.me/HusseinSheikho
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Forwarded from Machine Learning with Python
π Your balance is credited $4,000 , the owner of the channel wants to contact you!
Dear subscriber, we would like to thank you very much for supporting our channel, and as a token of our gratitude we would like to provide you with free access to Lisa's investor channel, with the help of which you can earn today
T.me/Lisainvestor
Be sure to take advantage of our gift, admission is free, don't miss the opportunity, change your life for the better.
You can follow the link :
https://t.me/+WJZWror-AMQ3MjMx
Dear subscriber, we would like to thank you very much for supporting our channel, and as a token of our gratitude we would like to provide you with free access to Lisa's investor channel, with the help of which you can earn today
T.me/Lisainvestor
Be sure to take advantage of our gift, admission is free, don't miss the opportunity, change your life for the better.
You can follow the link :
https://t.me/+WJZWror-AMQ3MjMx
π2
No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation
π» Github: https://github.com/themody/no-learning-rates-needed-introducing-salsa-stable-armijo-line-search-adaptation
π Paper: https://arxiv.org/abs/2407.20650v1
βοΈ Dataset: https://paperswithcode.com/dataset/cifar-10
π https://t.me/DataScienceT βοΈ
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π2
VADER is a method for aligning the results of diffusion models for video generation;
VADER allows to improve various models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion using different approaches such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aesthetics and others.
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π5β€2
DeepInteraction & DeepInteraction++
π₯ Github: https://github.com/fudan-zvg/deepinteraction
π Paper: https://arxiv.org/abs/2408.05075v1
π Dataset: https://paperswithcode.com/dataset/nuscenes
π Dataset: https://paperswithcode.com/dataset/nuscenes
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π3
Forwarded from π³
Exciting News, Friends!
@whale has just unveiled their new roadmap, and itβs packed with potential! According to their plans, the value of their NFT is set to rise significantly in the near future
And thatβs not all! Theyβre also hosting an airdrop of 10 million $Whale tokens,
If you are not with them yet, now is the perfect time to join!
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Paper Name: The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Paper: https://arxiv.org/pdf/2408.06292v2.pdf
Code: https://github.com/sakanaai/ai-scientist
π https://t.me/DataScienceT βοΈ
Paper: https://arxiv.org/pdf/2408.06292v2.pdf
Code: https://github.com/sakanaai/ai-scientist
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Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2
Paper: https://arxiv.org/pdf/2408.01648v1.pdf
Code: https://github.com/AngeLouCN/SAM-2_Surgical_Video
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.01648v1.pdf
Code: https://github.com/AngeLouCN/SAM-2_Surgical_Video
https://t.me/DataScienceT
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MooER: LLM-based Speech Recognition and Translation Models from Moore Threads
Paper: https://arxiv.org/pdf/2408.05101v1.pdf
Code: https://github.com/moorethreads/mooer
Datasets: https://github.com/kaldi-asr/kaldi/tree/master/egs/aishell2
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.05101v1.pdf
Code: https://github.com/moorethreads/mooer
Datasets: https://github.com/kaldi-asr/kaldi/tree/master/egs/aishell2
https://t.me/DataScienceT
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UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
Paper: https://arxiv.org/pdf/2408.04810v1.pdf
Code: https://github.com/facebookresearch/unibench
Datasets: https://www.cs.toronto.edu/~kriz/cifar.html
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.04810v1.pdf
Code: https://github.com/facebookresearch/unibench
Datasets: https://www.cs.toronto.edu/~kriz/cifar.html
https://t.me/DataScienceT
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MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Paper: https://arxiv.org/pdf/2408.02900v1.pdf
Code: https://github.com/UCSC-VLAA/MedTrinity-25M
Datasets: https://yunfeixie233.github.io/MedTrinity-25M/
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.02900v1.pdf
Code: https://github.com/UCSC-VLAA/MedTrinity-25M
Datasets: https://yunfeixie233.github.io/MedTrinity-25M/
https://t.me/DataScienceT
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DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Paper: https://arxiv.org/pdf/2408.08152v1.pdf
Code: https://github.com/deepseek-ai/deepseek-prover-v1.5
Datasets: https://github.com/zhangir-azerbayev/ProofNet
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.08152v1.pdf
Code: https://github.com/deepseek-ai/deepseek-prover-v1.5
Datasets: https://github.com/zhangir-azerbayev/ProofNet
https://t.me/DataScienceT
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Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective
Paper: https://arxiv.org/pdf/2408.08228v1.pdf
Code: https://github.com/zx-pan/medanomalydetection-iqa
Datasets: http://braintumorsegmentation.org/ || https://brain-development.org/ixi-dataset/
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.08228v1.pdf
Code: https://github.com/zx-pan/medanomalydetection-iqa
Datasets: http://braintumorsegmentation.org/ || https://brain-development.org/ixi-dataset/
https://t.me/DataScienceT
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HAIR: Hypernetworks-based All-in-One Image Restoration
Paper: https://arxiv.org/pdf/2408.08091v1.pdf
Code: https://github.com/toummHus/HAIR
Datasets: https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/ ||https://seungjunnah.github.io/Datasets/gopro
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.08091v1.pdf
Code: https://github.com/toummHus/HAIR
Datasets: https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/ ||https://seungjunnah.github.io/Datasets/gopro
https://t.me/DataScienceT
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MambaMIM: Pre-training Mamba with State Space Token-interpolation
Paper: https://arxiv.org/pdf/2408.08070v1.pdf
Code: https://github.com/fenghetan9/mambamim
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.08070v1.pdf
Code: https://github.com/fenghetan9/mambamim
https://t.me/DataScienceT
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