SusiSuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
Stars: ✭ 42 (-84.89%)
DatacomparerdataCompareR is an R package that allows users to compare two datasets and view a report on the similarities and differences.
Stars: ✭ 58 (-79.14%)
OpenrefineOpenRefine is a free, open source power tool for working with messy data and improving it
Stars: ✭ 8,531 (+2968.71%)
Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-84.89%)
Tsrepr TSrepr: R package for time series representations
Stars: ✭ 75 (-73.02%)
Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
Stars: ✭ 8,912 (+3105.76%)
Gopup数据接口:百度、谷歌、头条、微博指数,宏观数据,利率数据,货币汇率,千里马、独角兽公司,新闻联播文字稿,影视票房数据,高校名单,疫情数据…
Stars: ✭ 1,229 (+342.09%)
Dream3dData Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.
Stars: ✭ 73 (-73.74%)
Knet.jlKoç University deep learning framework.
Stars: ✭ 1,260 (+353.24%)
DltkDeep Learning Toolkit for Medical Image Analysis
Stars: ✭ 1,249 (+349.28%)
Tageditor🏖TagEditor - Annotation tool for spaCy
Stars: ✭ 92 (-66.91%)
MathematicavsrExample projects, code, and documents for comparing Mathematica with R.
Stars: ✭ 41 (-85.25%)
CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (+395.68%)
VizukaExplore high-dimensional datasets and how your algo handles specific regions.
Stars: ✭ 100 (-64.03%)
Ai Expert RoadmapRoadmap to becoming an Artificial Intelligence Expert in 2021
Stars: ✭ 15,441 (+5454.32%)
Spark Py NotebooksApache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 1,338 (+381.29%)
Scikit Learnscikit-learn: machine learning in Python
Stars: ✭ 48,322 (+17282.01%)
SweetvizVisualize and compare datasets, target values and associations, with one line of code.
Stars: ✭ 1,851 (+565.83%)
MachinelearningA repo with tutorials for algorithms from scratch
Stars: ✭ 96 (-65.47%)
Keras ContribKeras community contributions
Stars: ✭ 1,532 (+451.08%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+445.32%)
Pandas VideosJupyter notebook and datasets from the pandas Q&A video series
Stars: ✭ 1,716 (+517.27%)
Seaborn TutorialThis repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
Stars: ✭ 114 (-58.99%)
Deeplearning NotesNotes for Deep Learning Specialization Courses led by Andrew Ng.
Stars: ✭ 126 (-54.68%)
Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
Stars: ✭ 986 (+254.68%)
Autograd.jlJulia port of the Python autograd package.
Stars: ✭ 147 (-47.12%)
copulaeMultivariate data modelling with Copulas in Python
Stars: ✭ 96 (-65.47%)
DatasciencevmTools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Stars: ✭ 153 (-44.96%)
Uncertainty MetricsAn easy-to-use interface for measuring uncertainty and robustness.
Stars: ✭ 145 (-47.84%)
AuptimizerAn automatic ML model optimization tool.
Stars: ✭ 166 (-40.29%)
FixyAmacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.
Stars: ✭ 165 (-40.65%)
Data Science ToolkitCollection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (-39.21%)
Deep SpyingSpying using Smartwatch and Deep Learning
Stars: ✭ 172 (-38.13%)
Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Stars: ✭ 171 (-38.49%)
HomlrSupplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
Stars: ✭ 185 (-33.45%)
JaxnetConcise deep learning for JAX
Stars: ✭ 171 (-38.49%)
KlibEasy to use Python library of customized functions for cleaning and analyzing data.
Stars: ✭ 192 (-30.94%)
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (-30.94%)
Machine Learning ResourcesA curated list of awesome machine learning frameworks, libraries, courses, books and many more.
Stars: ✭ 226 (-18.71%)
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (-21.58%)
MydatascienceportfolioApplying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (-18.35%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (-26.62%)
DatascienceCurated list of Python resources for data science.
Stars: ✭ 3,051 (+997.48%)
Dash.jlDash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
Stars: ✭ 248 (-10.79%)
RadioRadIO is a library for data science research of computed tomography imaging
Stars: ✭ 198 (-28.78%)
computational-neuroscienceShort undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.
Stars: ✭ 36 (-87.05%)
Mlcourse.aiOpen Machine Learning Course
Stars: ✭ 7,963 (+2764.39%)
Janitorsimple tools for data cleaning in R
Stars: ✭ 981 (+252.88%)
TadA desktop application for viewing and analyzing tabular data
Stars: ✭ 2,275 (+718.35%)
mixedvinesPython package for canonical vine copula trees with mixed continuous and discrete marginals
Stars: ✭ 36 (-87.05%)