Victor Guerra (vguerra)

vguerra

Geek Repo

Location:Paris, France

Home Page:http://blog.vguerra.net

Twitter:@vguerra

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Victor Guerra's repositories

ilox

Interpreter for Lox language

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picograd

A toy lib to understand backpropagation in Swift

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autofaiss

Automatically create Faiss knn indices with the most optimal similarity search parameters.

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clangir

A new high-level IR for clang.

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Enzyme

High-performance automatic differentiation of LLVM.

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faiss

A library for efficient similarity search and clustering of dense vectors.

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fastai-workflows

Composite Actions workflows for use in fastai projects

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fastbook

Draft of the fastai book

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fastbook-notes

My notes while going trough the fastAI book : Deep learning for coders

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fastcore

Python supercharged for the fastai library

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FileCheck

A standalone Swift version of LLVM's flexible pattern matching file verifier

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fsdl-text-recognizer-2022-labs

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

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llvm-tutor

A collection of out-of-tree LLVM passes for teaching and learning

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nbdev

Create delightful python projects using Jupyter Notebooks

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nbprocess

Process and export Jupyter Notebooks fast (Jupyter not required)

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numba-mlir

POC work on MLIR backend

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PI

A lightweight MLIR Python frontend with support for PyTorch

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Publish

A static site generator for Swift developers

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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relay-mlir

An MLIR-based toy DL compiler for TVM Relay.

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RosSwift

ROS Robotic Operating System - Swift implementation of core client libraries and rosmaster. Based on roscpp.

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tensorflow

An Open Source Machine Learning Framework for Everyone

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

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val

The val compiler

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Walk-with-fastai-revisited

Source notebook code for the course, stripped of all information. Please consider puchasing the course at https://thezachmueller.gumroad.com/l/walkwithfastai

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