Local UI to run and train LLMs and diffusion models. 8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
Global
A community-maintained Python framework for creating mathematical animations.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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.
#2573 · +7 · 1d ·GitHub
Challenges will soon provide on-demand incremental hints to help you arrive at the optimal solution.
A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.
#2934 · +6 · 1d ·GitHub
🤖📐专为数学建模设计的 Agent & skills ,自动完成数学建模，生成一份完整的可以直接提交的论文。 An Agent Designed for Mathematical Modeling ,Automatically complete mathmodel and generate a complete paper ready for submission.
tqdm derives from the Arabic word taqaddum (تقدّم) which can mean "progress," and is an abbreviation for "I love you so much" in Spanish (te quiero demasiado).
The Jupyter notebook is a web-based notebook environment for interactive computing.
#3798 · +3 · 1d ·GitHub
Course Files for Complete Python 3 Bootcamp Course on Udemy
#3834 · +3 · 1d ·GitHub
> 🇺🇦 UKRAINE IS BEING ATTACKED BY RUSSIAN ARMY. CIVILIANS ARE GETTING KILLED. RESIDENTIAL AREAS ARE GETTING BOMBED.
#4155 · +3 · 1d ·GitHub
DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！
#4333 · +2 · 1d ·GitHub
The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chapters of slow, mathematical analysis. The typical text on Bayesian inference involves two to three chapters on probability theory, then enters what Bayesian inference is.
Kubeflow is the foundation of tools for AI Platforms on Kubernetes.
This documentation uses the Sphinx documentation engine.
#4524 · +2 · 1d ·GitHub
This repository contains implementations and illustrative code to accompany DeepMind publications.
#4558 · +2 · 1d ·GitHub
This training is designed to be conducted in-person, led by J.P. Morgan technologists and traders. For interested institutional clients, please contact your J.P. Morgan team.
#4687 · +2 · 1d ·GitHub
Perspective is an interactive analytics and data visualization component for large, real-time and streaming datasets. js and Rust — or delegates to a database you already have.
#4726 · +2 · 1d ·GitHub
ai), led by Yury Kashnitsky (yorko), now Staff GenAI specialist at Google Cloud. D. degree in applied math and a Kaggle Competitions Master tier, Yury aimed at designing an ML course with a perfect balance between theory and practice.
#5115 · +1 · 1d ·GitHub
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.
js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial (proudly crafted ❤️ with Dash itself).
Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics and affords high-performance interactivity across large or streaming datasets.
#5385 · +1 · 1d ·GitHub
The neural network is built in three iterations. Starting with a Hello World version, followed by the main neural network layers, and ending by training it to generalize.
#5394 · +1 · 1d ·GitHub
List of Data Science Cheatsheets to rule the world
🎨 Python Echarts Plotting Library
#5500 · +1 · 1d ·GitHub
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
#5537 · +1 · 1d ·GitHub
> ydata-profiling is now fg-data-profiling. This package has been renamed to fg-data-profiling. Please follow the Migration Guide as soon as possible — the old package will no longer receive updates or bug fixes.
Ensure PyTorch and CUDA are installed. The repo needs CUDA extensions to be built. If not present, run the following commands:
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.