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Otutu11 / Fake News Detection Using Machine LearningFake-News-Detection-Using-Machine-Learning on your GitHub. It uses scikit‑learn + TF‑IDF + Logistic Regression (default), but also lets you benchmark SVM, Linear SVC, Random Forest, and XGBoost via a single CLI flag.
aws / Sagemaker Mxnet Training ToolkitToolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.
ZhenyuYangMQ / Awesome Graph Level LearningAwesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph representation learning, graph regression and graph classification to join this project as contribut…
UNITAR-UNOSAT / UNOSAT AI Based Rapid Mapping ServiceThis GitHub repository contains the machine learning models described in Edoardo Nemnni, Joseph Bullock, Samir Belabbes, Lars Bromley Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery.
btkrausen / Vault CodespacesHashiCorp Vault training environment using GitHub Codespaces. Includes pre-configured Vault server in dev mode and hands-on labs covering essential features: authentication, secrets engines, encryption, policies, and tokens. Perfect for learning Vault without complex infrastructure setup.
sjlgg / Tuning Playbook Zh CN对[Deep Learning Tuning Playbook](https://github.com/google-research/tuning_playbook) 的翻译
EshanTrivedi21 / Git CheatSheetAn opensource initiative to which over 37 individuals from all over the world collaborated in order to streamline the process of learning Git and GitHub.
IsraArvin / Git Github Learning HubWelcome to my personal Git and GitHub notes repository. This project is all about exploring Git, a powerful tool for tracking changes in coding projects, and GitHub, the go-to platform for collaborating and sharing code with others. Here, you'll find a comprehensive collection of my thoughts and learnings on these topics.
wu375 / Simple Physics Simulator Pytorch GeometryMinimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate
QData / Deep2Readhttps://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and related.
Abdullah-Abuolaim / Recurrent Defocus Deblurring Synth Dual PixelReference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Leveraging these realistic synthetic DP images, we introduce a new recurrent convolutional network (RCN) architecture that can improve defocus deblurring results and is suitable for use with single-frame and multi-frame data captured by DP sensors.
PJalgotrader / Machine Learning USUGithub repository for machine learning course owned and maintained by prof. Jahangiry
mohamedr002 / CADAThis is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.
Doodleverse / Segmentation GymA neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using https://github.com/Doodleverse/dash_doodler
UtkarshPathrabe / Competitive CodingCompetitive Coding GitHub repo showcases solutions to SPOJ, LeetCode, HackerRank, and Codeforces challenges, offering insights into coding excellence. Ideal for learners and enthusiasts, it's frequently updated and open for community contributions, fostering a collaborative learning atmosphere. Explore and excel in competitive coding!
ML4SCI / ML4SCI.github.ioMachine Learning for Science github site
hisrg / Neural Network Compression And Accelerator On HardwareMy name is Fang Biao. I'm currently pursuing my Master degree with the college of Computer Science and Engineering, Si Chuan University, Cheng Du, China. For more informantion about me and my research, you can go to [my homepage](https://github.com/hisrg). One of my research interests is architecture design for deep learning and neuromorphic computing. This is an exciting field where fresh ideas come out every day, so I'm collecting works on related topics. Welcome to join us!
JohnMwendwa / Skills Review Pull RequestsThis repo is for learning how to effectively review pull requests. You too can learn how by visiting https://github.com/skills/review-pull-requests
GreenGilad / IML.HUJIGitHub repository of the Introduction to Machine Learning course in the Hebrew University of Jerusalem. Includes code examples, labs, and exercise templates
Abdullah-Abuolaim / Multi Task Defocus Deblurring Dual Pixel NimatReference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single blurry input image improves the network’s ability to learn to deblur the image. Our experiments show this multi-task strategy achieves +1dB PSNR improvement over state-of-the-art defocus deblurring methods. In addition, our multi-task framework allows accurate DP-view synthesis (e.g., ~ 39dB PSNR) from the single input image. These high-quality DP views can be used for other DP-based applications, such as reflection removal. As part of this effort, we have captured a new dataset of 7,059 high-quality images to support our training for the DP-view synthesis task.
