Mark Saroufim (msaroufim)

msaroufim

Geek Repo

Company:@PyTorch

Location:The Matrix

Home Page:https://marksaroufim.substack.com/

Twitter:@marksaroufim

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pytorch

Mark Saroufim's repositories

awesome-profiling

Awesome utilities for performance profiling

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Discord-PDFPreview

Preview PDFs locally within the Discord UI!

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matmul-pad

smad;isagdasdbaudasdas

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algorithmic-efficiency

MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

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axolotl

Go ahead and axolotl questions

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ClassyVision

An end-to-end PyTorch framework for image and video classification

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compiler-explorer

Run compilers interactively from your web browser and interact with the assembly

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faster-pytorch-blog

Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy

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helm

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110).

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ImageBind

ImageBind One Embedding Space to Bind Them All

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lit-llama

Simple (fast) transformer inference in PyTorch with torch.compile + lit-llama code

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llama-inference

experiments with inference on llama

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llama2.c

Inference Llama 2 in one file of pure C

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mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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newblog

new blog, who dis?

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nvgpu

NVIDIA GPU tools - monitoring on CLI & web app with multiple agents

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picotorchGPT

An unnecessarily tiny implementation of GPT-2 in NumPy.

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protoquant

Prototype routines for GPU quantization written using PyTorch.

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pyperformance

Python Performance Benchmark Suite

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch.github.io

The website for PyTorch

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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serve

Serve, optimize and scale PyTorch models in production

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xla

Enabling PyTorch on Google TPU

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