LastAncientOne/Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders. (⭐ 1716)
Deep Visual Re-Identification with Confidence
Transportation systems often rely on understanding the flow of vehicles or pedestrian. From traffic monitoring at the city scale, to commuters in train terminals, recent progress in sensing technology make it possible to use cameras to better underst...
jisungk/deepjazz
Deep learning driven jazz generation using Keras & Theano! (⭐ 2896)
Interpretability Illusions in the Generalization of Simplified Models
A common method to study deep learning systems is to use simplified model representations--for example, using singular value decomposition to visualize the model's hidden states in a lower dimensional space. This approach assumes that the results of...
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging…
Stain variations often decrease the generalization ability of deep learning based approaches in digital histopathology analysis. Two separate proposals, namely stain normalization (SN) and stain augmentation (SA), have been spotlighted to reduce the...
Deep learning-based transformation of the H&E stain into special stains
Pathology is practiced by visual inspection of histochemically stained slides. Most commonly, the hematoxylin and eosin (H&E) stain is used in the diagnostic workflow and it is the gold standard for cancer diagnosis. However, in many cases, especiall...
HistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer and Stai…
Virtual stain transfer is a promising area of research in Computational Pathology, which has a great potential to alleviate important limitations when applying deeplearningbased solutions such as lack of annotations and sensitivity to a domain shift....
The Scientific Method in the Science of Machine Learning
In the quest to align deep learning with the sciences to address calls for rigor, safety, and interpretability in machine learning systems, this contribution identifies key missing pieces: the stages of hypothesis formulation and testing, as well as...
Describe What You See with Multimodal Large Language Models to Enhance Video Rec…
Existing video recommender systems rely primarily on user-defined metadata or on low-level visual and acoustic signals extracted by specialised encoders. These low-level features describe what appears on the screen but miss deeper semantics such as i...
liyown/ai-trend-publish
TrendPublish: 全自动 AI 内容生成与发布系统 | 微信公众号自动化 | 多源数据抓取 (Twitter/X、网站) | DeepseekAI、千问、讯飞模型 | 智能内容分析排序 | 定时发布 | 多模板支持 | Node.js | TypeScript | AI 技术趋势跟踪工具 (⭐ 2805)
The Client You’ll Never Forget
I’ve been thinking a lot about the impact clients and therapists can have on each other. I’m curious—have you ever had a client who profoundly impacted you on a deeper, emotional level? Someone ...
谷歌推出最新大模型 Gemini 2.0，开放 Deep Research 新功能，有哪 …
先简单看一下谷歌官方的公告吧 [1] [2] [3]： 今天起，Gemini 2.0 Flash 实验模型将面向所有 Gemini 用户开放。 谷歌还推出了一个名为深度研究的新功能，它利用先进的推理和长上下文能力，充当研究助 …
SandboxAQ, Former AI Quantum Unicorn, Stock Price Falls 90% in <1 Year as All…
SandboxAQ has been the talk of the town...lately. In April 2025, the Google spinout [announced funding](https://www.prnewswire.com/news-releases/sandboxaq-closes-series-e-round-with-expanded-investor-...
4-year-long medical mystery: unable to breathe deeply, constant brain fog, 1 onc…
Hello! After a **very** long time, an obscene amount of money spent, a ton of stress, and 0 answers, I'm quite desperate, so I hope at least someone here would have a clue what's wrong with me, for wh...
How Dumb and Wrong Was I? - A 5 Year Retrospective
In 2019, during the Before Times, I started getting more into the development side of the MLB, and decided to do some deep dives on top Twins prospects. Mostly, I just wanted to get a feel for each pl...
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selec…
The accuracy of deep neural networks is significantly affected by how well mini-batches are constructed during the training step. In this paper, we propose a novel adaptive batch selection algorithm called Recency Bias that exploits the uncertain sam...
Atcold/pytorch-Video-Tutorials
The versatility of Python :snake: enlightened by Torch :flashlight: to seize Deep Learning (⭐ 129)
Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metri…
Purpose: In sleep medicine, assessing the evolution of a subject's sleep often involves the costly manual scoring of electroencephalographic (EEG) signals. In recent years, a number of Deep Learning approaches have been proposed to automate this proc...
Quaternion Fourier and Linear Canonical Inversion Theorems
The Quaternion Fourier transform (QFT) is one of the key tools in studying color image processing. Indeed, a deep understanding of the QFT has created the color images to be transformed as whole, rather than as color separated component. In addition,...
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