Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
Repository Index
47,133 repositories indexed
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A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
- notebooks
- python
- data-science
- machine-learning
100-Days-Of-ML-Code中文版
- machine-learning
- python
- 100-days-of-ml-code
- chinese-simplified
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
Faker is a Python package that generates fake data for you.
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
- ipython
- jupyter
- data-science
- python
pix2tex: Using a ViT to convert images of equations into LaTeX code.
TuShare is a utility for crawling historical data of China stocks
Convert Machine Learning Code Between Frameworks
- python
- tensorflow
- pytorch
- numpy
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
- pandas-profiling
- pandas-dataframe
- statistics
- jupyter-notebook
机器学习相关教程
AI Observability & Evaluation
- llmops
- ai-monitoring
- ai-observability
- llm-eval
Always know what to expect from your data.
- pipeline-tests
- dataquality
- datacleaning
- datacleaner
Low-code framework for building custom LLMs, neural networks, and other AI models
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
- machine-learning
- experiment-track
- deep-learning
- keras
Fast and Accurate ML in 3 Lines of Code
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
- data
- data-cleaning
- data-pipelines
- data-processing
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
- pytorch
- tensorboard
- machine-learning
- visualization
The Open Source Feature Store for AI/ML
- machine-learning
- features
- ml
- big-data
📚 Parameterize, execute, and analyze notebooks
- jupyter
- notebooks
- notebook-generator
- nteract
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.