List of Deep Learning ModelsDeep learning (DL) algorithms have recently emerged from machine learning and soft computing techniques. Since then, several deep learning (DL) algorithms have been recently introduced to scientific communities and are applied in various application domains. Today...doi:10.1007/978-3-030-36841-8_20Amir MosaviSina ArdabiliAnnam...
iSee Using deep learning to remove eyeglasses from faces Learn more srez 3853 Increase the resolution of a blurry image through deep learning. GitHub open_nsfw 3035 Detect if an image has racy content. Created by Yahoo. GitHub Sponsored advertisement ...
With knowledge-primed neural networks (KPNNs), we exploit the ability of deep learning algorithms to assign meaningful weights to multi-layered networks for interpretable deep learning." Chemoinformatics and drug discovery Learning substructure invariance for out-of-distribution molecular representations [...
AUC Area Under the (ROC) Curve Probability of confidence in a model to accurately predict positive outcomes for actual positive instances BDT Boosted Decision Tree An ensemble learning method combining multiple decision trees, typically using boosting algorithms like AdaBoost or Gradient Boosting. BERT ...
fields institute Optimization: Theory, Algorithms, Applications Lecture Series International Conference on Information Geometry for Data Science Institute for Data Science Foundations Blogs machine learning Lil'Log Archive probability: Random Fields Diffusion processes and other random processes. Johannes Kepler ...
spark In-memory cluster computing framework, up to 100 times faster for certain applications and is well suited for machine learning algorithms. hdfs Reliably stores very large files across machines in a large cluster. mapreduce-python IPython Notebook(s) demonstrating Hadoop MapReduce with mrjob fu...
Hyperparameter-Optimization-of-Machine-Learning-Algorithms - Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms. Heart_Disease-Prediction - Given clinical parameters about a patient, can we predict whether or not they have heart disease? Flight Fare Prediction -...
HackerRank, a platform for learning algorithms and data structures and preparing for coding interviews, provides skills certifications tests in topics such as problem solving, Python, and JavaScript. Upon successfully clearing an assessment, you can promote yourself using the HackerRank certificate to peer...
Machine Learning and Deep Learning: MATLAB provides tools and libraries for developing and implementing machine learning and deep learning algorithms. Academic and Research: MATLAB is widely used in universities and research institutions for a variety of research projects and academic courses due to its...
Xie X, Bao F, Maier T, Webster C. Analytic Continuation of Noisy Data Using Adams Bashforth ResNet. arXiv:1905.10430, 2019. Training Algorithm Adjoint Method Li Q, Chen L, Tai C, et al. Maximum principle based algorithms for deep learning[J]. The Journal of Machine Learning Research, ...