NumPy-based text/binary PLY file reader/writer for Python
a numpy-like fast vector module for micropython, circuitpython, and their derivatives
把普通文本变成以假乱真的手写体图片:手写字体 + 信纸背景 + 字距/行距/笔画随机扰动。GUI(PyQt6)与 CLI 双入口,numpy/scipy 高性能渲染引擎。
Generative models from scratch, progressively implemented in NumPy, C, and CUDA to uncover what ML frameworks hide.
A professional Python library for 2D incompressible Navier-Stokes simulations using the Finite Difference Method, with advanced visualization.
Autonomous experiment-pipeline orchestrator: versioned research-plan DSL with dependency DAGs, deterministic checkpoint/resumable executor, tamper-evident provenance ledger, UCB1/Thompson schedulers with measured regret against synthetic oracles, ablation bookkeeping, offline report synthesis. NumPy core, CPU-only torch extra.
Claude Code skill:说一首诗,做出一条水墨手绘风 2D 动画(代码逐帧绘制 + 朗诵逐字对位 + numpy 配乐)
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Automated data preparation for machine learning. Load a dataset, clean, transform, encode, scale and split it, explore it with built-in analysis, and export model-ready data with a full report. Built with Python and Streamlit.
Claude paints with code: a Claude Code skill for procedural illustration in 74 styles, from ink wash (水墨), watercolour and ukiyo-e to stained glass, Roman mosaic, Art Deco, shadow puppets, X-ray, VHS tape, pastel UI, dry-brush blocks, hatched nocturnes, a note-app UI and Flexoki paper. No image model: numpy + Pillow on a CPU, draw-on GIFs.
Neural network from scratch in pure Python + NumPy that recognises handwritten digits (MNIST), with an educational GUI: watch it learn, tweak it while it trains, look inside every layer.
The math of AI, drawn and coded. A free, visual-first linear algebra course following MIT 18.06.
End-to-end spoken language understanding toolkit: a small trainable neural audio codec with RVQ, joint intent-and-slot models over speech features, streaming partial intents, a speech-LLM instruction data pipeline, and turn-level evaluation with reproducible reports. NumPy core with a CPU-only torch extra; synthetic data only, fully offline.
Streaming speech recognition toolkit: log-mel features, CTC greedy and prefix-beam decoding, transducer-style frame-synchronous emission, forced alignment, Chinese/English CER-WER metrics, and a chunked streaming pipeline with latency accounting. NumPy core with a CPU-only torch extra; trainable demos on synthetic audio, fully offline.
Thermodynamic analysis for open quantum systems. Define a cycle as a sequence of strokes; get heat, work, entropy production, COP, and trajectory-resolved distributions. Validated against analytic limits. Built on numpy/scipy.
Machine learning from scratch with Python and NumPy. Explore 12 chapters covering regression, neural networks, trees, clustering, SVMs, and autodiff with mathematical derivations, interactive notebooks, gradient verification, and 59 automated tests. No scikit-learn or PyTorch.
Trace Python+NumPy programs into SymPy formulas and check them symbolically, across all branches