Apprentissage automatique · GitHub
Explorez les outils pour entraîner, évaluer et exécuter des modèles, et comparez leur popularité.
Projets GitHub utiles
neurocursor-ai
stems-arraign-48
StandardE2E
stepankonev
PyShortTextCategorization
stephenhky
zed-unity
stereolabs
deeplab_v3
sthalles
PyTorch-BYOL
sthalles
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
food-101-keras
stratospark
Food Classification with Deep Learning in Keras / Tensorflow
arabic2english
Strifee
DataAug4NLP
styfeng
Collection of papers and resources for data augmentation for NLP.
kmeans_pytorch
subhadarship
kmeans using PyTorch
so-vits-svc-Deployment-Documents
SUC-DriverOld
So-VITS-SVC 本地部署使用帮助文档,提供Colab笔记本 So-VITS-SVC Local Deployment Document and provide Colab notebook
Hands-On-Reinforcement-Learning-With-Python
sudharsan13296
gotch
sugarme
Go binding for Pytorch C++ API (libtorch)
tokenizer
sugarme
zipnerf-pytorch
SuLvXiangXin
Paper-Implementations
sunshineatnoon
Use PyTorch to implement some classic frameworks
AlphaCLIP
SunzeY
RLHF
sunzeyeah
Machine-Learning-Project
SuyashKumar05
Machine Learning-based sentiment analysis of code-mixed Indian text using Word and Character TF-IDF with Naive Bayes, Logistic Regression, and Linear SVM.
GNNs-for-NLP
svjan5
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
petlyuryk
sweetpalma
🤖 Перший в світі бот-русофоб.
awesome-CoreML-models
SwiftBrain
Collection of models for Core ML
Switchable-Normalization
switchablenorms







