rankpruning𧹠Formerly for binary classification with noisy labels. Replaced by cleanlab.
Stars: β 81 (+80%)
GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Stars: β 189 (+320%)
Xtreme-VisionA High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
Stars: β 77 (+71.11%)
Container.trainingSlides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.
Stars: β 2,377 (+5182.22%)
React WorkshopThe course material for our React Hooks workshop
Stars: β 184 (+308.89%)
chainer2pytorchConverts Chainer modules to PyTorch, parameters included.
Stars: β 36 (-20%)
authlabA lab to play with authentication and authorisation problems
Stars: β 80 (+77.78%)
WorkshopDocker, Kubernetes and Gravity Trainings by Gravitational
Stars: β 1,963 (+4262.22%)
convolutional seq2seqfairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer
Stars: β 63 (+40%)
approxposteriorA Python package for approximate Bayesian inference and optimization using Gaussian processes
Stars: β 36 (-20%)
DropLossImplementation of DropLoss for Long-Tail Instance Segmentation in Pytorch
Stars: β 38 (-15.56%)
KatasuperheroeskotlinSuper Heroes Kata for Android Developers in Kotlin. The main goal is to practice UI Testing.
Stars: β 77 (+71.11%)
FacegrabA tool to collect public images from Facebook and create an image dataset for training computer vision applications like gender recognition, and face detection
Stars: β 76 (+68.89%)
Bootstrap4Repository for my tutorial course: Bootstrap 4 Essential Training on LinkedIn Learning and Lynda.com.
Stars: β 142 (+215.56%)
DiscoBoxThe Official PyTorch Implementation of DiscoBox.
Stars: β 95 (+111.11%)
InginiousINGInious is a secure and automated exercises assessment platform using your own tests, also providing a pluggable interface with your existing LMS.
Stars: β 138 (+206.67%)
ngs-in-biocA course on Analysing Next Generation (/High Throughput etc..) Sequencing data using Bioconductor
Stars: β 37 (-17.78%)
Kubernetes MasteryKubernetes course on Udemy from @BretFisher and @jpetazzo
Stars: β 134 (+197.78%)
pynerπ Implementation of Neural Network based Named Entity Recognizer (Lample+, 2016) using Chainer.
Stars: β 45 (+0%)
Obman train[cvpr19] Demo, training and evaluation code for generating dense hand+object reconstructions from single rgb images
Stars: β 124 (+175.56%)
ElectronThis is the repository for my course, Electron: Building Cross Platform Desktop Apps on LinkedIn Learning and Lynda.com.
Stars: β 69 (+53.33%)
image-segmentationMask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
Stars: β 62 (+37.78%)
Lab WorkshopsMaterials for workshops on text mining, machine learning, and data visualization
Stars: β 112 (+148.89%)
KatacontactsjavaKataContacts written in Java. The main goal is to practice Clean Architecture Development.
Stars: β 109 (+142.22%)
Build and test examplesExamples of build scripts and unit test frameworks for various languages, and how these can be used with the Jenkins continuous integration server. Contact: @mikej888
Stars: β 104 (+131.11%)
Vsr Duf ReimplementIt is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.
Stars: β 101 (+124.44%)
3dgan-chainerπ¦ A Chainer implementation of 3D Generative Adversarial Network.
Stars: β 25 (-44.44%)
DiycodeA third-party Android client of DiyCode.
Stars: β 94 (+108.89%)
ExcelcyExcel Integration with spaCy. Training NER using Excel/XLSX from PDF, DOCX, PPT, PNG or JPG.
Stars: β 89 (+97.78%)
Yolo resnetImplementing YOLO using ResNet as the feature extraction network
Stars: β 82 (+82.22%)
R-Bridge-Tutorial-NotebooksJupyter notebooks demonstrating setup and use of the R-ArcGIS bridge. The repo includes datasets required to run the Jupyter notebooks.
Stars: β 56 (+24.44%)
hypothesisA Python toolkit for (simulation-based) inference and the mechanization of science.
Stars: β 47 (+4.44%)
fastT5β‘ boost inference speed of T5 models by 5x & reduce the model size by 3x.
Stars: β 421 (+835.56%)
Malware SamplesMalware samples, analysis exercises and other interesting resources.
Stars: β 241 (+435.56%)
D3This is the repository for my course, Learning Data Visualization with D3.js on LinkedIn Learning and Lynda.com.
Stars: β 64 (+42.22%)
Go Collectionπ· awesome awesome go, study golang from basic to proficient
Stars: β 1,193 (+2551.11%)
TesstrainTrain Tesseract LSTM with make
Stars: β 251 (+457.78%)
LearnyougitA self-guided workshop to learn the basics and some of the internals of Git
Stars: β 65 (+44.44%)
HackerOne-LessonsTranscribed video lessons of HackerOne to pdf's
Stars: β 104 (+131.11%)
Trainingπ A fast, easy and collaborative open source image annotation tool for teams and individuals.
Stars: β 2,615 (+5711.11%)
Symfony PackA series of questions to prepare for the Symfony certification
Stars: β 241 (+435.56%)
responsivebootstrapThis is the repository for my course, Bootstrap Layouts: Responsive Single-Page Design on LinkedIn Learning and Lynda.com.
Stars: β 49 (+8.89%)