We will commoditize the petaflop.
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The tinygrad organization on GitHub showcases a diverse array of projects primarily focused on machine learning and GPU programming. With notable repositories like tinygrad and open-gpu-kernel-modules, their work incorporates languages such as Python, C, and Shell, contributing significantly to the open-source community.
You like pytorch? You like micrograd? You love tinygrad! ❤️
NVIDIA Linux open GPU with P2P support
If tinygrad wasn't small enough for you...
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ctypes wrappers for HIP, CUDA, and OpenCL
Firmware for the ASM2464PD
Scripts and environment for the tinybox
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A spec for tinygrad (let's see if this works)
GPUOcelot: A dynamic compilation framework for PTX
Unofficial Python system monitor and library for small IPS USB-C displays like Turing Smart Screen or XuanFang
tinygrad's premier discord moderation bot
tiny corporation website
RDNA3 emulator
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A flashing/provisioning micro os for the tinybox
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the frontend for stats.tinygrad.org
Stuff from extra in tinygrad
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tinygrad focuses on simplifying deep learning frameworks and GPU programming. Their notable projects include tinygrad, which aims to provide a minimalistic approach to PyTorch-like functionality, and open-gpu-kernel-modules for NVIDIA Linux support.
The primary programming languages used by tinygrad include Python, C, HTML, Shell, TeX, and C++. This diverse set allows them to create a wide range of tools and frameworks for various applications in machine learning and hardware interaction.
Yes, all of tinygrad's repositories are public on GitHub. This accessibility allows developers and researchers to explore, contribute to, and utilize their innovative projects, fostering collaboration within the open-source community.
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