SparkmagicJupyter magics and kernels for working with remote Spark clusters
Stars: ✭ 954 (+2881.25%)
Datahacksummit 2017Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark
Stars: ✭ 30 (-6.25%)
Python for mlbrief introduction to Python for machine learning
Stars: ✭ 29 (-9.37%)
Pytorch projectsA collection of Machine Learning Google_Colab_Notebooks
Stars: ✭ 30 (-6.25%)
Neuromatch AcademyPreparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities
Stars: ✭ 30 (-6.25%)
Docker Iocaml DatascienceDockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning
Stars: ✭ 30 (-6.25%)
Particle Filter PrototypeParticle Filter Implementations in Python and C++, with lecture notes and visualizations
Stars: ✭ 29 (-9.37%)
Going DutchUsing Data Science and Machine Learning to find an apartment in Amsterdam.
Stars: ✭ 31 (-3.12%)
BetalyzerA fintech tutorial using Python
Stars: ✭ 31 (-3.12%)
Crnn Pytorch✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition
Stars: ✭ 31 (-3.12%)
LstmvisVisualization Toolbox for Long Short Term Memory networks (LSTMs)
Stars: ✭ 959 (+2896.88%)
Deep HedgingDeep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.
Stars: ✭ 30 (-6.25%)
IslplotLibrary to plot integer sets and maps
Stars: ✭ 29 (-9.37%)
CourseSlides and Jupyter notebooks
Stars: ✭ 29 (-9.37%)
Bdr Analytics PyCommon data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2.0
Stars: ✭ 30 (-6.25%)
GansVarious GANs for playing around
Stars: ✭ 31 (-3.12%)
Stock2vecVariational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
Stars: ✭ 30 (-6.25%)
Inception Resnet V2Implementation of Google's Inception + ResNet v2 architecture in Keras
Stars: ✭ 31 (-3.12%)
Poi2vecPOI2Vec: Geographical Latent Representation for Predicting Future Visitors
Stars: ✭ 30 (-6.25%)
Tech TermsA repository of technical terms and definitions. As flashcards.
Stars: ✭ 30 (-6.25%)
Discogan PytorchPyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Stars: ✭ 961 (+2903.13%)
Deep ChemometricsUsing deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)
Stars: ✭ 30 (-6.25%)
AsrgenAttacking Speaker Recognition with Deep Generative Models
Stars: ✭ 31 (-3.12%)
Ukbiobank deep pretrainPretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.
Stars: ✭ 29 (-9.37%)
Hacktoberfest2020 beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs in any language and C and Cpp program , Please leave a star ⭐ to support this project! ✨
Stars: ✭ 31 (-3.12%)
Kaggle rsna 2nd place solutionNotebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna
Stars: ✭ 30 (-6.25%)
Odsc neural nets 11 04 17Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017
Stars: ✭ 31 (-3.12%)
ImgclusterImage clustering using the similarity algorithms: SIFT, SSIM, CW-SSIM, MSE
Stars: ✭ 31 (-3.12%)
Super ResolutionTensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Stars: ✭ 952 (+2875%)
Deeplabv3 PlusTensorflow 2.3.0 implementation of DeepLabV3-Plus
Stars: ✭ 32 (+0%)
2015 Python(Winter 2015) Python for Data Mining mini-course.
Stars: ✭ 31 (-3.12%)
Qa RankitQA - Answer Selection (Rank candidate answers for a given question)
Stars: ✭ 30 (-6.25%)