dstoolboxTools that make working with scikit-learn and pandas easier.
Stars: ✭ 43 (+115%)
PracticalMachineLearningA collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
Stars: ✭ 60 (+200%)
nlp workshop odsc europe20Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…
Stars: ✭ 127 (+535%)
SkydetectorA Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)
Stars: ✭ 23 (+15%)
cognipyIn-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas
Stars: ✭ 31 (+55%)
Python-Data-VisualizationD-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.
Stars: ✭ 42 (+110%)
DS-Cookbook101A jupyter notebook having all most frequent used code snippet for daily data scienceoperations
Stars: ✭ 59 (+195%)
PbaEfficient Learning of Augmentation Policy Schedules
Stars: ✭ 461 (+2205%)
PynamicalPynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
Stars: ✭ 458 (+2190%)
Mexican Government ReportText Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.
Stars: ✭ 473 (+2265%)
Product-Categorization-NLPMulti-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
Stars: ✭ 30 (+50%)
A-Detector⭐ An anomaly-based intrusion detection system.
Stars: ✭ 69 (+245%)
DataSciPyData Science with Python
Stars: ✭ 15 (-25%)
datatileA library for managing, validating, summarizing, and visualizing data.
Stars: ✭ 419 (+1995%)
intro-to-pythonAn Introduction to Programming in Python
Stars: ✭ 57 (+185%)
Python-MatematicaExplorando aspectos fundamentais da matemática com Python e Jupyter
Stars: ✭ 41 (+105%)
Spacy Notebooks💫 Jupyter notebooks for spaCy examples and tutorials
Stars: ✭ 255 (+1175%)
Sk DistDistributed scikit-learn meta-estimators in PySpark
Stars: ✭ 260 (+1200%)
NimbusmlPython machine learning package providing simple interoperability between ML.NET and scikit-learn components.
Stars: ✭ 265 (+1225%)
Best Of Ml Python🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Stars: ✭ 6,057 (+30185%)
Jupyter DashDevelop Dash apps in the Jupyter Notebook and JupyterLab
Stars: ✭ 453 (+2165%)
PandapyPandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
Stars: ✭ 474 (+2270%)
IcsharpC# kernel for Jupyter
Stars: ✭ 263 (+1215%)
Audio Spectrum Analyzer In PythonA series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.
Stars: ✭ 273 (+1265%)
Matplotlib VennArea-weighted venn-diagrams for Python/matplotlib
Stars: ✭ 260 (+1200%)
Dataframe GoDataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
Stars: ✭ 487 (+2335%)
EdwardA probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Stars: ✭ 4,674 (+23270%)
Nbviewer AppA Jupyter notebook viewer for macOS
Stars: ✭ 521 (+2505%)
PycaretAn open-source, low-code machine learning library in Python
Stars: ✭ 4,594 (+22870%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (+2170%)
PalladiumFramework for setting up predictive analytics services
Stars: ✭ 481 (+2305%)
Sklearn ClassificationData Science Notebook on a Classification Task, using sklearn and Tensorflow.
Stars: ✭ 518 (+2490%)
Course V3The 3rd edition of course.fast.ai
Stars: ✭ 4,785 (+23825%)
CartolaExtração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.
Stars: ✭ 304 (+1420%)
Interpretable machine learning with pythonExamples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Stars: ✭ 530 (+2550%)
JustenoughscalaforsparkA tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
Stars: ✭ 538 (+2590%)
Handson MlA series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Stars: ✭ 23,798 (+118890%)
IelixirJupyter's kernel for Elixir programming language
Stars: ✭ 312 (+1460%)
Log Progresshttps://habr.com/ru/post/276725/
Stars: ✭ 556 (+2680%)
Baby Names AnalysisData ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
Stars: ✭ 557 (+2685%)
SktimeA unified framework for machine learning with time series
Stars: ✭ 4,741 (+23605%)
Python Causality HandbookCausal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
Stars: ✭ 449 (+2145%)
Lets PlotAn open-source plotting library for statistical data.
Stars: ✭ 531 (+2555%)