DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
Paper:https://arxiv.org/pdf/2407.03575v1.pdf
Code: https://github.com/chongqingnosubway/dgr-mil
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Paper:https://arxiv.org/pdf/2407.03575v1.pdf
Code: https://github.com/chongqingnosubway/dgr-mil
https://t.iss.one/DataScienceT
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Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform.
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aTENNuate: is a network that can be configured for real-time speech enhancement on raw audio waveforms.
🖥 Github: https://github.com/Brainchip-Inc/aTENNuate
📕 Paper: https://arxiv.org/abs/2409.03377v1
🚀 Dataset: https://paperswithcode.com/dataset/deep-noise-suppression-2020
🚀 Dataset: https://paperswithcode.com/dataset/deep-noise-suppression-2020
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💡 1M-Deepfakes Detection Challenge
🖥 Github: https://github.com/controlnet/av-deepfake1m
📕 Paper: https://arxiv.org/abs/2409.06991v1
⚡️ Dataset: https://paperswithcode.com/dataset/celeb-df
⚡️ Dataset: https://paperswithcode.com/dataset/celeb-df
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BEST AI RESEARCH PAPER SUMMARIZERS
Paperguide - Provides tools for extracting key insights, managing references, and annotating documents within PDFs to enhance study and research.
Tenorshare AI PDF Tool - Quickly analyzes and condenses papers using AI, and features an interactive chat interface powered by ChatGPT.
Elicit - Improves how users find and summarize academic papers using intelligent search and natural language processing to generate concise summaries.
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Semantic Scholar - An AI-powered academic search engine that generates one-sentence paper summaries and identifies influential citations.
IBM Watson Discovery - Harnesses cognitive computing to understand context within texts and enable precise searches across large document libraries for summarization.
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Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform.
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LLaMA-Omni: Seamless Speech Interaction with Large Language Models
Paper: https://arxiv.org/pdf/2409.06666v1.pdf
Code: https://github.com/ictnlp/llama-omni
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Paper: https://arxiv.org/pdf/2409.06666v1.pdf
Code: https://github.com/ictnlp/llama-omni
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Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming
Paper: https://arxiv.org/pdf/2408.16725v2.pdf
Code: https://github.com/gpt-omni/mini-omni
Dataset: LibriSpeech
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Paper: https://arxiv.org/pdf/2408.16725v2.pdf
Code: https://github.com/gpt-omni/mini-omni
Dataset: LibriSpeech
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MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery
Paper: https://arxiv.org/pdf/2409.05591v2.pdf
Code: https://github.com/qhjqhj00/memorag
Dataset: GovReport
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Paper: https://arxiv.org/pdf/2409.05591v2.pdf
Code: https://github.com/qhjqhj00/memorag
Dataset: GovReport
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Data Science Cheat Sheets
Quick help to make a data scientist's life easier
About Dataset
A collection of cheat sheets for various data-science related languages and topics
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Quick help to make a data scientist's life easier
About Dataset
A collection of cheat sheets for various data-science related languages and topics
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Forwarded from Machine Learning with Python
@CodeProgrammer Data Science Cheat Sheets.zip
596.3 MB
Data Science Cheat Sheets
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This article presents an implementation of the UNet 3+ architecture using TensorFlow.
UNet 3+ extends the classic UNet and UNet++ architecture.
This article looks at each block of the UNet 3+ architecture and explains how they work and what helps improve the performance of the model.
Understanding these blocks will help us understand the mechanisms behind UNet 3+ and how it effectively tackles tasks such as image segmentation or other pixel-wise prediction tasks.
https://idiotdeveloper.com/unet-3-plus-implementation-in-tensorflow/
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SGFormer: Simplified Graph Transformers
🖥 Github: https://github.com/qitianwu/sgformer
📕 Paper: https://arxiv.org/pdf/2306.10759.pdf
🤗 Blog: https://zhuanlan.zhihu.com/p/674548352
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Forwarded from Tomas
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Forwarded from Machine Learning
Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform.
Students can now access free Coursera scholarships through MAJOR.
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Students can now access free Coursera scholarships through MAJOR.
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Forwarded from Nagmani
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We will be giving away free Coursera scholarships starting November of this year.
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StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
Paper: https://arxiv.org/pdf/2409.12576v1.pdf
Code: https://github.com/redaigc/storymaker
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Paper: https://arxiv.org/pdf/2409.12576v1.pdf
Code: https://github.com/redaigc/storymaker
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