amanchadha/coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai (⭐ 482)
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai (⭐ 482)
Nov 19, 2025 · In honor of the spooky season passing by, let me—a baby bat, or newer goth for clarification—lead you into a deep dive through the comprehensive history of the goth subculture, …
Nov 11, 2025 · Goth fashion is a unique and captivating style that celebrates the dark and macabre. At its core, goth fashion revolves around dark colors, such as black, deep purple, and crimson red.
Stroke extraction of Chinese characters plays an important role in the field of character recognition and generation. The most existing character stroke extraction methods focus on image morphological features. These methods usually lead to errors of...
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound (⭐ 73)
Deep Learning Registration of the Prostate (⭐ 56)
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery (⭐ 164)
[KIME Lab] General Tips for Machine Learning, Deep Learning, Reinforcement Learning & Shin's Classes (⭐ 0)
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Many applications utilizing Unmanned Aerial Vehicles (UAVs) require the use of computer vision algorithms to analyze the information captured from their on-board camera. Recent advances in deep learning have made it possible to use single-shot Convol...
Person re-identification (Re-ID) aims at recognizing the same person from images taken across different cameras. To address this task, one typically requires a large amount labeled data for training an effective Re-ID model, which might not be practi...
Radio continuum emission at cm wavelengths is relatively little affected by extinction. When combined with far-infrared (FIR) surveys this provides for a convenient and unbiased method to select (radio-loud) AGN and starbursts deeply embedded in ga...
Generalization remains a challenging problem for deep reinforcement learning algorithms, which are often trained and tested on the same set of deterministic game environments. When test environments are unseen and perturbed but the nature of the task...
Rib fractures are a common and potentially severe injury that can be challenging and labor-intensive to detect in CT scans. While there have been efforts to address this field, the lack of large-scale annotated datasets and evaluation benchmarks has...
Federated Learning (FL) allows the training of deep neural networks in a distributed and privacy-preserving manner. However, this concept suffers from malfunctioning updates sent by the attending clients that cause global model performance degradatio...
This year has been a good year for monitors in general. When we look at monitors in the 1440p category there is a significant deep in prices which has somewhat taken to market by surprise. As we know ...
Making consistently profitable financial decisions in a continuously evolving and volatile stock market has always been a difficult task. Professionals from different disciplines have developed foundational theories to anticipate price movement and e...
Cartoonization is a task that renders natural photos into cartoon styles. Previous deep cartoonization methods only have focused on end-to-end translation, which may hinder editability. Instead, we propose a novel solution with editing features of te...
Motion estimation approaches typically employ sensor fusion techniques, such as the Kalman Filter, to handle individual sensor failures. More recently, deep learning-based fusion approaches have been proposed, increasing the performance and requiring...
17 hours ago · DraftKings has outlined an expanded growth strategy alongside plans to deepen AI deployment and introduce a unified Super App.