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ml roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and machine learning roadmap, python, data, data-science.

quantumlab

Run the /home/bram/work/quantum_lab Python scripts and demos inside the existing venv ~/.venvs/qiskit. Use when asked (e.g., via Telegram/OpenClaw) to run quant_math_lab.py, qcqi_pure_math_playground.py, quantum_app.py subcommands, quantumapp.server, or notebooks under the repo.

Quantum Lab

Run the /home/bram/work/quantum_lab Python scripts and demos inside the existing venv ~/.venvs/qiskit. Use when asked (e.g., via Telegram/OpenClaw) to run quant_math_lab.py, qcqi_pure_math_playground.py, quantum_app.py subcommands, quantumapp.server, or notebooks under the repo.

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

"I learned Python by hacking first, and getting serious *later.* I wanted to do this with Machine Learning. If this is your style, join me in getting a bit ahead of yourself."

ray

A system for parallel and distributed Python that unifies the machine learning ecosystem.

Tutorials of source code from the book Genetic Algorithms with Python by Clinton Sheppard

Tutorials of source code from the book Genetic Algorithms with Python by Clinton Sheppard - Tutorials

Fava

Web frontend of Beancount, a text based double-entry accounting system. ([Demo](https://fava.pythonanywhere.com/example-with-budgets/income_statement/), [Source Code](https://github.com/beancount/fava)) `MIT` `Python`

neon

Nervana's [high-performance](https://github.com/soumith/convnet-benchmarks) Python-based Deep Learning framework [DEEP LEARNING]. **[Deprecated]**

stacked_generalization

Implementation of machine learning stacking technique as a handy library in Python.

Cogitare

A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.

Introduction to machine learning with scikit-learn

IPython notebooks from Data School's video tutorials on scikit-learn.

Introduction to Machine Learning with Python

Notebooks and code for the book "Introduction to Machine Learning with Python"

Learn Python

Learn Python programming on LabEx: beginner and topic courses plus coding labs via LabEx MCP; avoid generic help outside labex.io catalog URLs.

Homemade Machine Learning

Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Hugging Face Diffusion Models Course

Python materials for the online course on diffusion models by [@huggingface](https://github.com/huggingface).

self-improving-agent-python

Implement a 3-layer self-improvement process for agents to evaluate tasks, learn from outcomes, optimize performance, and share knowledge across agents.

gradio

Build and share machine learning apps, all in Python.

scipy

A Python-based ecosystem of open-source software for mathematics, science, and engineering.

Building Rag Applications With Langchain

Learn to build Retrieval-Augmented Generation (RAG) applications using LangChain with Python and FAISS vector stores for enhanced AI retrieval.

Detectron

FAIR's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. **[Deprecated]**

Neon Course

IPython notebooks for a complete course around understanding Nervana's Neon.

ML-From-Scratch

Implementations of Machine Learning models from scratch in Python with a focus on transparency. Aims to showcase the nuts and bolts of ML in an accessible way.

climin

Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.

Practical XGBoost in Python

comprehensive online course about using XGBoost in Python.

OpenClawBrain

Learned memory graph for AI agents. Policy-gradient routing over document chunks with self-learning, self-regulation, and autonomous correction. Pure Python...

modAL

A modular active learning framework for Python, built on top of scikit-learn.

Python Programming for the Humanities

Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.

Realtime deployment

Tutorial on Python time-series model deployment.

12 free Data Science projects to practice Python and Pandas

12 free Data Science projects to practice Python and Pandas - Tutorials

Agnost AI Analytics

USE when implementing data ingestion for Agnost AI analytics. Contains API reference, SDK guides for Python and TypeScript, and code examples for tracking AI...

Code Mentor

Comprehensive AI programming tutor for all levels. Teaches programming through interactive lessons, code review, debugging guidance, algorithm practice, project mentoring, and design pattern exploration. Use when the user wants to: learn a programming language, debug code, understand algorithms, review their code, learn design patterns, practice data structures, prepare for coding interviews, understand best practices, build projects, or get help with homework. Supports Python and JavaScript.

Auto_ViML

> Automatically Build Variant Interpretable ML models fast! Auto_ViML is pronounced "auto vimal", is a comprehensive and scalable Python AutoML toolkit with imbalanced handling, ensembling, stacking and built-in feature selection. Featured in <a href="https://towardsdatascience.com/why-automl-is-an-

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

Py Math Viz

Create clear math/data visualizations in Python and export to PNG (matplotlib/seaborn; optional OpenCV post-processing). Use when the user asks to plot funct...

python-timbl

A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.

PySS3

Python package that implements a novel white-box machine learning model for text classification, called SS3. Since SS3 has the ability to visually explain its rationale, this package also comes with easy-to-use interactive visualizations tools ([online demos](http://tworld.io/ss3/)).

Google Colab

Run Google Colab notebooks for Python and machine learning with reproducible runtimes, data pipelines, debugging workflows, and experiment discipline.

Spark (Dify)

Apache Spark is an open-source, distributed computing system designed for big data processing and analytics. It provides high-level APIs in Java, Scala, Python, and R, and supports a wide array of data processing tasks, from SQL queries to machine learning and graph processing. Please apply for an API Key, API Secret and APPID from the [iFLYTEK open platform](https://console.xfyun.cn/services). Th

PharmaAI

智能药物发现AI助手，提供分子毒性预测、ADMET评估和虚拟筛选功能。 基于Python科学计算核心(RDKit + scikit-learn)和Node.js Skill包装。 Use when: - 需要预测分子的hERG心脏毒性、肝毒性或Ames致突变性 - 需要评估分子的溶解度、代谢稳定性等ADMET性质...

sympy

A Python library for symbolic mathematics.

Amazon Orders

Download and query your Amazon order history via an unofficial Python API and CLI.

Ml Roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and machine learning roadmap, python, data, data-science.

LinkdAPI

Complete LinkdAPI integration OpenClaw skill. Includes all 50+ endpoints, Python/Node.js/Go SDKs, authentication, rate limits, and real-world examples. Use t...

Ml Visualizer

Visual analysis and diagnostic tools to help machine learning model selection. ml-visualizer, python, anaconda, estimator, machine-learning, matplotlib.

Python Seniorify: Intermediate Python Tutor

Wise Python tutor focusing on advanced coding principles by [@vasarmilan](https://github.com/vasarmilan)

Python Tutor: Example-Focused Learning

Concise Python programming tutor for beginners to intermediates by [@vasarmilan](https://github.com/vasarmilan)

H2O

ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.

Pebl

Python Environment for Bayesian Learning. **[Deprecated]**