MppcaMixtures of Probabilistic Principal Component Analysers implementation in python
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PdlsrPandas-aware non-linear least squares regression using Lmfit
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Curso pdiMaterial do Curso PDI (Jupyter)
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Tf box classifyA simple TensorFlow example for training CNN models using input queues and labelled JPEGs
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SparkjniA heterogeneous Apache Spark framework.
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Machine Learning Starter KitThe fastest way for developers and managers to gain practical ML knowledge and to apply it to their own projects.
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Pandas TutorialsHow To's and Tutorials in Jupyter Notebook
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Dscourses19ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2019)
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Medium ArticleRepo for articles in my personal blog and Medium
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Advanced pymc3A talk illustrating some of the Advanced features of PyMC3
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Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
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Awesome Google ColabGoogle Colaboratory Notebooks and Repositories (by @firmai)
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Crunchbase MlMerge and Acquisitions Prediction based on M&A information from Crunchbase.
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Neurally Embedded EmojisConvolutional variational autoencoders and text-question, emoji-answer models
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ChexpertCheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet
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Seq2seq Attention ModelAn implementation for attention model in Keras for sequence to sequence model.
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Bigdata Interview🎯 🌟[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结
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Mask Rcnn TensorflowFork of Tensorpack to make breaking performance improvements to the Mask RCNN example. Training is approximately 2x faster than the original implementation on AWS.
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Cs224uCode for Stanford CS224u
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Brain Tumor Segmentation KerasKeras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"
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Data Science Toolbox BootcampA 4 week program to get started with Data Science. Useful for beginners who want to get started by themselves.
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Data driven science python demosIPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
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Openshift PsapExample roles and yaml files for performance-sensitive applications running on OpenShift
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Dl Workshop SeriesMaterial used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
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Altair CatplotUtility to generate plots with categorical variables using Altair.
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Python And Spark For Data AnalysisA four-day course on Python, the Scientific Python stack and PySpark, adapted from a training course given by Patrick Varilly to one of our clients in December 2015
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ChatbotChatbot based on Rasa Framework
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Intrusion Detection SystemI have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.unb.ca/cic/datasets/ids-2017.html. By keeping Monday as the training set and rest of the csv files as testing set, I tried one class SVM and deep CNN model to check how it works. Here the Monday dataset contains only normal data and rest of the days contains both normal and attacked data. Also, from the same university (UNB) for the Tor and Non Tor dataset, I tried K-means clustering and Stacked LSTM models in order to check the classification of multiple labels.
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Changepoint DetectionOnline Change-point Detection Algorithm for Multi-Variate Data: Applications on Human/Robot Demonstrations.
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Grab AiforseaEntry for Grab's AI for S.E.A. challenge
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DeeplearningcameraappDeep Learning Capstone Project. Live camera app that can interpret number strings in real-world images.
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Movielens RecommenderCourse project for Programing Machine Learnings Applications class
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AndaCode for our ICAR 2019 paper "ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection"
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Cds Ta MeetupCompetitive Data Science @ Tel Aviv Meetup
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Terra Aws Core KubeTerraform configuration to bootstrap a Kubernetes Cluster on top of CoreOS using AWS-EC2 instances
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PucketBucketing and partitioning system for Parquet
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PacmapPaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
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