EdwardA probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Stars: ✭ 4,674 (+4925.81%)
ProbabilityProbabilistic reasoning and statistical analysis in TensorFlow
Stars: ✭ 3,550 (+3717.2%)
ProbflowA Python package for building Bayesian models with TensorFlow or PyTorch
Stars: ✭ 95 (+2.15%)
Datacamp🍧 A repository that contains courses I have taken on DataCamp
Stars: ✭ 69 (-25.81%)
Edward2A simple probabilistic programming language.
Stars: ✭ 419 (+350.54%)
Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (+1194.62%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+8855.91%)
ResourcesPyMC3 educational resources
Stars: ✭ 930 (+900%)
KdepyKernel Density Estimation in Python
Stars: ✭ 244 (+162.37%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (+108.6%)
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 (+134.41%)
XlearnHigh performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Stars: ✭ 2,968 (+3091.4%)
Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Stars: ✭ 273 (+193.55%)
Scikit Mobilityscikit-mobility: mobility analysis in Python
Stars: ✭ 339 (+264.52%)
Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (+309.68%)
AulasAulas da Escola de Inteligência Artificial de São Paulo
Stars: ✭ 166 (+78.49%)
Uncertainty BaselinesHigh-quality implementations of standard and SOTA methods on a variety of tasks.
Stars: ✭ 278 (+198.92%)
Quantitative NotebooksEducational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Stars: ✭ 356 (+282.8%)
Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (+481.72%)
VirgilioVirgilio is developed and maintained by these awesome people.
You can email us virgilio.datascience (at) gmail.com or join the Discord chat.
Stars: ✭ 13,200 (+14093.55%)
DtaleVisualizer for pandas data structures
Stars: ✭ 2,864 (+2979.57%)
DatascienceprojectsThe code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
Stars: ✭ 223 (+139.78%)
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 (+83.87%)
FacetHuman-explainable AI.
Stars: ✭ 269 (+189.25%)
Data Science LearningRepository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
Stars: ✭ 273 (+193.55%)
Pydataroadopen source for wechat-official-account (ID: PyDataLab)
Stars: ✭ 302 (+224.73%)
Data ScienceCollection of useful data science topics along with code and articles
Stars: ✭ 315 (+238.71%)
ArticlesA repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Stars: ✭ 350 (+276.34%)
Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (+656.99%)
SkdataPython tools for data analysis
Stars: ✭ 16 (-82.8%)
LooperA resource list for causality in statistics, data science and physics
Stars: ✭ 23 (-75.27%)
Mlj.jlA Julia machine learning framework
Stars: ✭ 982 (+955.91%)
Imbalanced LearnA Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Stars: ✭ 5,617 (+5939.78%)
Openml RR package to interface with OpenML
Stars: ✭ 81 (-12.9%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (+388.17%)
Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
Stars: ✭ 986 (+960.22%)
Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Stars: ✭ 864 (+829.03%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (-3.23%)
SocratA Dynamic Web Toolbox for Interactive Data Processing, Analysis, and Visualization
Stars: ✭ 26 (-72.04%)
DatasciencevmTools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Stars: ✭ 153 (+64.52%)
ZigzagPython library for identifying the peaks and valleys of a time series.
Stars: ✭ 156 (+67.74%)
Jupyter pivottablejsDrag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
Stars: ✭ 428 (+360.22%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-43.01%)
Ppd599USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+1041.94%)