796 skills found · Page 1 of 27
donnemartin / Data Science Ipython NotebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
matplotlib / Matplotlibmatplotlib: plotting with Python
tangyudi / AI Learn人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
rougier / Scientific Visualization BookAn open access book on scientific visualization using python and matplotlib
PyImageSearch / ImutilsA series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
StructuredLabs / PreswaldPreswald is a WASM packager for Python-based interactive data apps: bundle full complex data workflows, particularly visualizations, into single files, runnable completely in-browser, using Pyodide, DuckDB, Pandas, and Plotly, Matplotlib, etc. Build dashboards, reports, and notebooks that run offline, load fast, and share like a document.
SciTools / CartopyCartopy - a cartographic python library with matplotlib support
dexplo / Bar Chart RaceCreate animated bar chart races in Python with matplotlib
muricoca / CrabCrab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
ColdGrub1384 / PytoPython IDE for iOS with NumPy, Matplotlib, Pandas, SciPy and SciKit-Learn
rgerum / PylustratorVisualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.
csurfer / Pyheatpprofile + matplotlib = Python program profiled as an awesome heatmap!
marcharper / Python Ternary:small_red_triangle: Ternary plotting library for python with matplotlib
gboeing / Data VisualizationMisc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).
MizuhoAOKI / Python Simple MppiPython implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
leotac / JoypyJoyplots in Python with matplotlib & pandas :chart_with_upwards_trend:
IPGP / Scientific Python Cheat Sheetsimple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work
konstantint / Matplotlib VennArea-weighted venn-diagrams for Python/matplotlib
cuemacro / ChartpyEasy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more
wcipriano / Pretty Print Confusion MatrixConfusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
