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
Repository Index
47,133 repositories indexed
1–18 of 18 · Most stars
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.
- ai-scientist
- bioinformatics
- chemoinformatics
- claude
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
- video-annotation
- computer-vision
- computer-vision-annotation
- image-annotation
Missing data visualization module for Python.
- missing-data
- data-visualization
- data-analysis
- pandas
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
- eda
- pandas
- data-science
- exploratory-data-analysis
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
- pytorch
- memory-networks
- generation
- end-to-end-learning
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
- robotics
- tracking
- computer-vision
- pose-estimation
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
- deep-learning
- agriculture
- pytorch
- dataset
High-assurance AI data visualization IDE & analytics workbench. Natural language to charts with local ground-truth table verification.
- ai-analytics
- data-analysis
- data-visualization
- duckdb
The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common functions that add additional logs
manim cell magic for IPython/Jupyter to show the output video
- jupyter-magic
- jupyer
- manim
- ipython-magic
Automated Testing for Set-Top Boxes and Smart TVs
- python
- test-automation
- set-top-box
- remote-control
R-IDE: Make Sublime Text a perfect IDE for R
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
- feature-engineering
- machine-learning
- feature
- features
Replication package of the paper titled "How do you Architect your Robots? State of the Practice and Guidelines for ROS-based Systems" published at ICSE-SEIP 2020
Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.
- clickhouse
- databricks
- dremio
- mcp
This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.
- anaconda
- jupyter-notebook
- python
A pygame API-compatible reimplementation for running `pygame`-style code inside Jupyter notebooks (backed by ipycanvas)