text2classMulti-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
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projection-pursuitAn implementation of multivariate projection pursuit regression and univariate classification
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bistroA library to build and execute typed scientific workflows
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timeseries-cvTime-Series Cross-Validation Module
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TVQAplus[ACL 2020] PyTorch code for TVQA+: Spatio-Temporal Grounding for Video Question Answering
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DeepSentiPersRepository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"
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COVID-CXNetCOVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807
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oplOfficial repository for "Orthogonal Projection Loss" (ICCV'21)
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dbMAPA fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.
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ACVR2017An Innovative Salient Object Detection Using Center-Dark Channel Prior
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NIDS-Intrusion-DetectionSimple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
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FineGrainedVisualRecognitionFine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.
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dmlR package for Distance Metric Learning
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df-dn-paperConceptual & empirical comparisons between decision forests & deep networks
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stgPython/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
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CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
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Python-Machine-Learning-FundamentalsD-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
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RNASeqRNASeq pipeline
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Predictive-Maintenance-of-Aircraft-EngineIn this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
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ScaleNetData-Driven Neuron Allocation for Scale Aggregation Networks
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ML-Optimizers-JAXToy implementations of some popular ML optimizers using Python/JAX
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skippaSciKIt-learn Pipeline in PAndas
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Focal Loss KerasMulti-class classification with focal loss for imbalanced datasets
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Cat-Dog-CNN-ClassifierConvolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.
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fire-cloud基于Spring Cloud的微服务业务框架
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mirapyMiraPy: A Python package for Deep Learning in Astronomy
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lineageGenerate beautiful documentation for your data pipelines in markdown format
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CvTThis is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
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hmmA Hidden Markov Model implemented in Javascript
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climateRAn R 📦 for getting point and gridded climate data by AOI
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sp segmenterSuperpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.
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AdaptiveRandomForestRepository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
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coronavirus-statsAutomatically scrape data and statistics on Coronavirus to make them easily accessible in CSV format
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ruimteholR package to Embed All the Things! using StarSpace
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dnaPipeTEdnaPipeTE (for de-novo assembly & annotation Pipeline for Transposable Elements), is a pipeline designed to find, annotate and quantify Transposable Elements in small samples of NGS datasets. It is very useful to quantify the proportion of TEs in newly sequenced genomes since it does not require genome assembly and works on small datasets (< 1X).
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MTBseq sourceMTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.
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proseA python framework to process FITS images. Built for Astronomy.
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proposal-hack-pipesOld specification for Hack pipes in JavaScript. Please go to the new specification.
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snomed-owl-toolkitThe official SNOMED CT OWL Toolkit. OWL conversion, classification and authoring support.
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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. Lev…
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dropEstPipeline for initial analysis of droplet-based single-cell RNA-seq data
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clanaCLANA is a toolkit for classifier analysis.
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SpectreA computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.
Stars: ✭ 31 (+72.22%)
neuralBlackA Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
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bifrostA stream processing framework for high-throughput applications.
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katana-skipperSimple and flexible ML workflow engine
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ProbQAProbabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.
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data-science-notesOpen-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
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Robust-Deep-Learning-PipelineDeep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
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