FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
GitHub

Ha-seunga/CutLER_2025-1_-

We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
eLife

Cryo-EM structure revealed a novel F-actin binding motif in a Legionella pneumophila lysine fatty acyltransferase

A novel F-actin-binding motif consisting of an α-helix hairpin from a Legionella pneumophila lysine fatty acyltransferase has the potential to be developed as an F-actin probe.
IEEE

A Contrastive-Learning Framework for Unsupervised Salient Object Detection

Abstract: Existing unsupervised salient object detection (USOD) methods usually rely on low-level saliency priors, such as center and background priors, to detect salient objects, resulting in ...
IEEE

Robust Unsupervised Deep Learning for Nonblind Image Deconvolution With Inaccurate Kernels

Abstract: Nonblind image deconvolution/deblurring aims at restoring sharp images from their noisy blurred versions using an associated blur kernel with potential ...
GitHub

CSCI 4701: Deep Learning

def f(x): return x**2 In\u00a0[3]: Copied! x = 3.0\nfor h in [10, 1, 0.1, 0]:\n print(f\"If we shift input by {h}, output becomes {f(x+h)}\")\n x = 3.0 for h in [10 ...