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Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
100-Days-Of-ML-Code中文版
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Convert Machine Learning Code Between Frameworks
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
pix2code: Generating Code from a Graphical User Interface Screenshot
Low-code framework for building custom LLMs, neural networks, and other AI models
Fast and Accurate ML in 3 Lines of Code
Modin: Scale your Pandas workflows by changing a single line of code
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Efficiently computes derivatives of NumPy code.
Vizro is a low-code toolkit for building high-quality data visualization apps.
Visualize and compare datasets, target values and associations, with one line of code.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
No-code in the front, Python in the back. An open-source framework for creating data apps.
A neovim plugin for interactively running code with the jupyter kernel. Fork of magma-nvim with improvements in image rendering, performance, and more
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
Python DataFrames as Interactive DataTables