GitHub - yousef-rafat/miniDiffusion: A reimplementation of Stable Diffusion 3.5 in pure PyTorch
miniDiffusion is a reimplementation of the Stable Diffusion 3.5 model in pure PyTorch with minimal dependencies. It's designed for educational, experimenting, and hacking purposes. It's made with the mindset of having the least amount of code necessary to recreate Stable Diffusion 3.5 from scratch, with only ~2800 spanning from VAE to DiT to the Train and Dataset scripts. -Files: The main Stable D
Modular: Mojo vs. Rust: is Mojo 🔥 faster than Rust 🦀 ?
Mojo is built on the latest compiler technology in MLIR, an evolution of LLVM which Rust lowers to, and so it can be faster. It depends largely on the skill of the programmer and how far they're willing to go with optimizations. Mojo's goal as a language, is to meet Python developers where they are, and allow them to learn some new tricks to optimize their code to the performance limits of any har
GitHub - satwikkansal/wtfpython: What the f*ck Python? 😱
Exploring and understanding Python through surprising snippets. Translations: Chinese 中文 | Vietnamese Tiếng Việt | Spanish Español | Korean 한국어 | Russian Русский | German Deutsch | Persian فارسی | Add translation Other modes: Interactive Website | Interactive Notebook Python, being a beautifully designed high-level and interpreter-based programming language, provides us with many features for the
CuPy カーネル融合の拡張 - Preferred Networks Research & Development
本記事は、2019年インターンシップとして勤務した徐 子健さんによる寄稿です。 2019年度夏季インターンのJoeです。この度インターンプロジェクトとしてCuPyのカーネル融合の拡張に取り組み、既存のカーネル融合の適用範囲を大幅に拡張しました。さらにその応用として、ResNet50のバッチ正規化においてCPU実行時間を30%ほど、GPU実行時間を(入力サイズに大きく依存しますがおおよそ)70%ほど削減することに成功しましたので、その取り組みをご紹介します。 背景 CuPyはNumPyと同じAPIを提供するPythonのライブラリで、CUDAを用いて演算を高速に行います。具体的には、行列・ベクトルの要素ごとの演算や、リダクションと呼ばれる、演算によって配列の次元が落ちる演算(たとえばcupy.sum)など、GPUが得意とする計算を高速に行うことができます。 さて、CuPyのGPU演算は強力で
Our journey to type checking 4 million lines of Python
Dropbox is a big user of Python. It’s our most widely used language both for backend services and the desktop client app (we are also heavy users of Go, TypeScript, and Rust). At our scale—millions of lines of Python—the dynamic typing in Python made code needlessly hard to understand and started to seriously impact productivity. To mitigate this, we have been gradually migrating our code to stati
26.1. typing --- 型ヒントのサポート — Python 3.6.6 ドキュメント
Note The Python runtime does not enforce function and variable type annotations. They can be used by third party tools such as type checkers, IDEs, linters, etc. This module provides runtime support for type hints. Consider the function below: def surface_area_of_cube(edge_length: float) -> str: return f"The surface area of the cube is {6 * edge_length ** 2}." The function surface_area_of_cube tak
GiNZA - Japanese NLP Library
Skip to the content. GiNZAの公開ページ What’s new! GiNZA v5.2.0をリリースしました (2024.03.31) 日本語の節認定のためのAPIを追加 (experimental) ja_ginza_bert_largeのβ版を公開中 cl-tohoku/bert-large-japanese-v2をベースモデルに採用 精度が大幅に向上（LAS=0.938, UAS=0.949, UPOS=0.983, ENE=0.708） CUDAに対応し8GB以上のRAMを搭載したGPU環境、または、M1・M2などApple Silicon環境の利用を推奨 ginzaコマンドで日本語以外を含む全てのspaCyモデルが利用可能に ginza -m en_core_web_md の形でモデル名を指定することでCoNLL-U出力ツールとして利用可能 ginzaコマ
Pyodide: Bringing the scientific Python stack to the browser – Mozilla Hacks - the Web developer blog
Pyodide is an experimental project from Mozilla to create a full Python data science stack that runs entirely in the browser. The impetus for Pyodide came from working on another Mozilla project, Iodide, which we presented in an earlier post. Iodide is a tool for data science experimentation and communication based on state-of-the-art web technologies. Notably, it’s designed to perform data scie
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Pyrefly vs. ty: Comparing Python’s Two New Rust-Based Type Checkers
GitHub - astral-sh/ty: An extremely fast Python type checker and language server, written in Rust.
Mojo 🔥: Powerful CPU+GPU Programming
GitHub - colour-science/colour: Colour Science for Python
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Git Internals - Learn by Building Your Own Git
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GitHub - mingrammer/diagrams: :art: Diagram as Code for prototyping cloud system architectures
GitHub - cool-RR/PySnooper: Never use print for debugging again
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GitHub - ludwig-ai/ludwig: Low-code framework for building custom LLMs, neural networks, and other AI models
GitHub - RustPython/RustPython: A Python Interpreter written in Rust
