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Most people learn ML frameworks by importing them. We built ours by hand, then made it hit harder.

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

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.

PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system

Python - 100天从新手到大师

本仓库包含三个面向学术科研人员的Skills，覆盖从文献阅读、论文写作到科学计算的完整研究工作流。office-academic-skill 负责论文阅读报告与学术 PPT/Word 文档生成；research-writing-skill 提供论文写作、润色与审稿回复辅助；scientific-toolkit-skill 整合 MATLAB/Python 科学计算与期刊级图表生成。三个 Skill 专为中文科研用户设计，可在 Claude Code 和 codex 中一键调用。

Open-source AI video replacement workflow by TEIN. Combine depth maps, SAM segmentation, face meshes, and audio processing to replace characters and objects with Seedance.

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

Pyramid brings first-principles engines, machine-learned interatomic potentials (MLIPs), solvers and molecular dynamics into one extensible Python framework.

The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages.

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NumPy is the fundamental package for scientific computing with Python.

👋 Hi, everyone! DanKS is a GuanDan AI project initiated by the Kingsoft AI Product Center .

Microduck 复刻 · 从官方 MJCF 与 Rust 源码反推出的装配图、CAD 装配体与完整电控方案 | Mechanical + electronics reconstruction of Pollen Robotics' Microduck

MLX is an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research.

Implemented the K-NN algorithm for classification. #100DaysOfMLCode Support Vector Machine Infographic is halfway complete. Will update it tomorrow.

This is a collection of numpy exercises from numpy mailing list, stack overflow, and numpy documentation. I've also created some problems myself to reach the 100 limit.

Taichi Lang is an open-source, imperative, parallel programming language for high-performance numerical computation.

uv is a fast Python package installer and resolver. To get started:

SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy…

Fed up with a ton of tutorials but no easy way to find exercises I decided to create a repo just with exercises to practice pandas. Don't get me wrong, tutorials are great resources, but to learn is to do. So unless you practice you won't learn.

Use it for structured workloads with repeated policies, account context, catalog attributes, or correlated fields. 5-9B, through vLLM. It returns binary, categorical or scored decisions with probabilities.

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Netron is a viewer for neural network, deep learning and machine learning models.

You can read the book PDF (95Mo, preferred site) that is open access and hosted on HAL which is a French open archive for academics. Up to date version is also available on GitHub here. com/rougier/scientific-visualization-book.

A library for efficient similarity search and clustering of dense vectors.

JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning.

The purpose of this project is not to produce as optimized and computationally efficient algorithms as possible but rather to present the inner workings of them in a transparent and accessible way.

🤗 Datasets is a lightweight library providing two main features: