arthurzucker Goto Github PK

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

adept-inference

Inference code for Persimmon-8B

advancedhighperformancecomputing

GPU project on CUDA

are-dynamique

arthurzucker

My secret page with fun and interesting features

arthurzucker.github.io

blog

Public repo for HF blog posts

brats_2021

clap

Contrastive Language-Audio Pretraining

course

The Hugging Face course

crypto-tp

# My python scripts for crypto

deeplearningproject

Deep Learning Project : Combining Self-Supervised Objective Functions in Computer Vision

diffusers

firstyearchatbotproject

fortranprogramming

git-pr-bot

highperformancecomputing

Lab works and Project using MPI and openMP parallel programming.

jukebox

Code for the paper "Jukebox: A Generative Model for Music"

metaseq

Repo for external large-scale work

minbpe

Minimal, clean, educational code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

pamai

My implementation of DENet, SincNet for bat call segmentation on the public dataset "Egyptian FruitBats"

projet_maillage_et_elements_finis

pytorchtemplate

This Pytorch template regroups every of my favorite tools, and was made in order for everyone to easily implement, train and test models. ment and develop models, log and

recvisproject

In this project, we propose to study Vision Transformers trained using the Barlow Twins self-supervised method, and compare the results with DINO. We demonstrate the effectiveness of the Barlow Twins method by showing that networks pretrained on the small PASCAL VOC 2012 dataset are able to generalize well. Authors: Apavou Clément & Zucker Arthur

secondyear

This git contains the entire content of my classes

sh_propagation

Projet de jeu en GODOT

thirdyear

toha

A Hugo theme for personal portfolio

tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.