github.com/mims-harvard/TxGNN
mims-harvard/TxGNN
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design (⭐ 260)
www.bing.com/ck/a?!&&p=269c138070bf98969a3f4d1330938f1301872a40aefc277ea8b050a8179ddc95JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=250842a6-eed9-61d7-2376-55b7ef8560c9&u=a1aHR0cHM6Ly93d3cuYmxvc3NvbXMuY29tL2Jsb2cvd2h5LWFyZS13ZS1uYW1lZC1jaGVycnktYmxvc3NvbXMv&ntb=1
The Blossoming Tale: Why Are We Named “Cherry Blossoms?”
Mar 6, 2025 · While the symbolism may vary, the cherry blossom remains a revered flower in both cultures, representing deep spiritual beliefs and cultural significance. Cherry blossoms hold symbolic …
arxiv.org/abs/0901.4255v2
Non-realism : deep thought or a soft option ?
The claim that the observation of a violation of a Bell inequality leads to an alleged alternative between nonlocality and non-realism is annoying because of the vagueness of the second term....
www.bing.com/ck/a?!&&p=55dd3c16bb25351d6359564bcbfa12170f20474dec61cbe5df5a4b2f3cf852a6JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=237ef1cf-b61c-6356-346a-e6deb7c86243&u=a1aHR0cHM6Ly9oaXN0b3J5LmFybXkubWlsL1JldndhcjI1MC9Db250aW5lbnRhbC1Tb2xkaWVyLw&ntb=1
The Continental Army
It fought in closely formed lines or ranks of soldiers, usually two but sometimes three deep. The soldier in the front rank and the soldier in the rank behind him formed a file.
github.com/graykode/nlp-tutorial
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers (⭐ 14875)
github.com/mel-2445/Predicting-First-Impressions
mel-2445/Predicting-First-Impressions
Code and Data for "Predicting First Impressions with Deep Learning" (⭐ 18)
github.com/ando-khachatryan/HiDDeN
ando-khachatryan/HiDDeN
Pytorch implementation of paper "HiDDeN: Hiding Data With Deep Networks" by Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei (⭐ 417)
arxiv.org/abs/2102.06599v1
Neural Architecture Search as Program Transformation Exploration
Improving the performance of deep neural networks (DNNs) is important to both the compiler and neural architecture search (NAS) communities. Compilers apply program transformations in order to exploit hardware parallelism and memory hierarchy. Howeve...
arxiv.org/abs/1604.01662v4
A Survey on Bayesian Deep Learning
A comprehensive artificial intelligence system needs to not only perceive the environment with different `senses' (e.g., seeing and hearing) but also infer the world's conditional (or even causal) relations and corresponding uncertainty. The past dec...
arxiv.org/abs/2008.10949v2
Matrix Element Regression with Deep Neural Networks -- breaking the CPU barrier
The Matrix Element Method (MEM) is a powerful method to extract information from measured events at collider experiments. Compared to multivariate techniques built on large sets of experimental data, the MEM does not rely on an examples-based learnin...
github.com/buriburisuri/speech-to-text-wavenet
buriburisuri/speech-to-text-wavenet
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow (⭐ 4011)
arxiv.org/abs/2305.10975v1
Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplas…
Ocular Toxoplasmosis (OT), is a common eye infection caused by T. gondii that can cause vision problems. Diagnosis is typically done through a clinical examination and imaging, but these methods can be complicated and costly, requiring trained person...
arxiv.org/abs/2404.04365v3
A Self-Attention-Driven Deep Denoiser Model for Real Time Lung Sound Denoising i…
Objective: Lung auscultation is a valuable tool in diagnosing and monitoring various respiratory diseases. However, lung sounds (LS) are significantly affected by numerous sources of contamination, especially when recorded in real-world clinical sett...
arxiv.org/abs/2305.00046v4
AutoLungDx: A Hybrid Deep Learning Approach for Early Lung Cancer Diagnosis Usin…
Lung cancer is a leading cause of cancer-related deaths worldwide, and early detection is crucial for improving patient outcomes. Nevertheless, early diagnosis of cancer is a major challenge, particularly in low-resource settings where access to medi...
github.com/sfsun67/GraphCast-from-Ground-Zero
sfsun67/GraphCast-from-Ground-Zero
[2023]Run GraphCast in one click. The code will automatically install and run the model environment, automatically inferencing and demonstrating how to train the model.(DOI: 10.1126/science.adi2336; https://github.com/google-deepmind/graphcast) . Which with Au…
github.com/chainer/chainer-chemistry
chainer/chainer-chemistry
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry (⭐ 688)
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Home - Davies
Delivering outstanding performance, service and technology solutions across the entire claims value chain. Our Insurance Solutions capability is deep, but simply defined, with our teams aligned to our …
arxiv.org/abs/2401.05969v1
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem
The traveling officer problem (TOP) is a challenging stochastic optimization task. In this problem, a parking officer is guided through a city equipped with parking sensors to fine as many parking offenders as possible. A major challenge in TOP is th...
arxiv.org/abs/1710.01297v1
Visual gesture variability between talkers in continuous visual speech
Recent adoption of deep learning methods to the field of machine lipreading research gives us two options to pursue to improve system performance. Either, we develop end-to-end systems holistically or, we experiment to further our understanding of th...
www.reddit.com/r/repglasses/comments/1ol34yx/first_time_posting_but_had_to_share_how_great/
First time posting, but had to share how great this buying experience was! —Jani…
Just wanted to drop a quick post and say I’m honestly super happy with my recent purchase. The pair I got are the Chrome Hearts DEEP II, and they’re genuinely impressive—the build quality feels...