Repository Index

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

• 30-days-of-python
• python
• flask
• github

Python Data Science Handbook: full text in Jupyter Notebooks

• scikit-learn
• numpy
• python
• jupyter-notebook

Data 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.

• python
• machine-learning
• deep-learning
• data-science

Latex code for making neural networks diagrams

• latex
• deep-neural-networks

Data Apps & Dashboards for Python. No JavaScript Required.

• dash
• plotly
• data-visualization
• data-science

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

• quant
• trade
• machine-learning
• bitcoin

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

• deep-learning
• artificial-intelligence
• machine-learning
• keras

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

• machine-learning
• deep-learning
• data-analysis
• data-mining

Open Machine Learning Course

• machine-learning
• data-analysis
• data-science
• pandas

Visual analysis and diagnostic tools to facilitate machine learning model selection.

• machine-learning
• visual-analysis
• model-selection
• visualization

Java dataframe and visualization library

• dataframe
• data-frame
• java
• java-dataframe

An intuitive library to add plotting functionality to scikit-learn objects.

• scikit-learn
• visualization
• machine-learning
• data-science

Owl - OCaml Scientific Computing @ https://ocaml.xyz

• matrix
• linear-algebra
• ndarray
• statistical-functions

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

• adaptive-learning
• machine-learning
• python
• live-plots

A Unix, Windows, Raspberry Pi Object Speed Camera using python3, opencv, video streaming, motion tracking. Includes a Standalone Web Server , Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync scripts.

• motion-tracking
• opencv
• rpi-camera
• speed-cam

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

• pandas
• pandas-summary
• dataframes
• data-science

Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning

• tensorflow
• python3
• keras
• resnet-101

⬛ Python Individual Conditional Expectation Plot Toolbox

• machine-learning
• interpretability

Fish Audio Drama 3 text-to-speech on the TensorFold native CUDA engine for DGX Spark (GB10): recipe, engine patches, benchmarks. Built with Fish Audio.

GG.Net Data Visualization

• charts
• plots
• blazor
• ml

A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.

• art-history
• color-analysis
• color-extraction
• color-palette

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.