Yves Ineichen (iff)

iff

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Location:Zurich, Switzerland

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Yves Ineichen's starred repositories

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ImHex

🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.

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iai-callgrind

High-precision and consistent benchmarking framework/harness for Rust

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lean4

Lean 4 programming language and theorem prover

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lean-gptf

Interactive neural theorem proving in Lean

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some-assembly-required

📖 An approachable introduction to Assembly.

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deep-rl-class

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

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pgwm

A minimal tiling x11 window manager

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magic-trace

magic-trace collects and displays high-resolution traces of what a process is doing

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hpmor

PDF, ePUB and Mobi versions of “Harry Potter and the Methods of Rationality”, from LaTeX source

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tufte-css

Style your webpage like Edward Tufte’s handouts.

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maggieappleton.com-V2

A digital garden built with Next.js, React, and MDX. Featuring loosely opinionated notes, half-formed ideas, and content that is always growing.

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openmemex

Open source, local-first knowledge platform.

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roam-app

An iOS app for Roam Research

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roam-css-system

Roam CSS System 2.0

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template

This is the repository for the distill web framework

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myarticles

Links to my articles from Medium and other places on Roam and other things

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orbit

Experimental spaced repetition platform for exploring ideas in memory augmentation and programmable attention

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roam-toolkit

Roam force multiplier

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wayland-rs

Rust implementation of the wayland protocol (client and server).

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Atrc

My path tracer

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visionaray

A C++-based, cross platform ray tracing library

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mitsuba2

Mitsuba 2: A Retargetable Forward and Inverse Renderer

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enoki

Enoki: structured vectorization and differentiation on modern processor architectures

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tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

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Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

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getting-started

An end-to-end scenario showing how to use the Operator Framework.

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