πŸ› οΈ
Pytorch Image Models tool by huggingface
⭐ 50.5
πŸ› οΈ
Tool

Pytorch Image Models

by huggingface huggingface/pytorch-image-models
Free2AITools Nexus Index
50.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 62
P: Popularity 74
R: Recency 99
Q: Quality 70
Tech Context
Vital Performance —
Source β†’
Python Lang
Open Source 37.1K Stars
Alpha Reliability
Tool Information Summary
Entity Passport
Registry ID huggingface/pytorch-image-models
License Apache-2.0
Provider github
πŸ“œ

Cite this tool

Academic & Research Attribution

BibTeX 
@misc{gh_tool_huggingface_pytorch_image_models,
  author = {huggingface},
  title = {Pytorch Image Models Tool},
  year = {2019},
  howpublished = {\url{https://github.com/huggingface/pytorch-image-models}},
  note = {Accessed via Free2AITools.}
}
APA Style
huggingface. (2019). Pytorch Image Models [Tool]. Free2AITools. https://github.com/huggingface/pytorch-image-models

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ™ GitHub Clone
git clone https://github.com/huggingface/pytorch-image-models
🐍 PIP Install
pip install pytorch-image-models

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 62
Popularity (P) 74
Recency (R) 99
Quality (Q) 70

πŸ’¬ Index Insight

FNI V2.0 for Pytorch Image Models: Authority (A:62), Popularity (P:74), Recency (R:99), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data

πŸ“‹ Specs

Language
Python
License
Apache-2.0
Version
β€”
Explore Source Node

Technical Documentation

PyTorch Image Models

What's New

August 27, 2026

  • Add LowFormer model and weights
  • Fix or merge a host of real but small or not commonly encountered bugs surfaced by agents
  • Release 1.0.29

August 11, 2026

  • Add model defs and pretrained weights for
  • Add per-batch image and batch size scheduling for non-NaFlex training, including progressive small-to-large resolution schedules.
  • Improve NaFlexViT with key-only attention masks, compile-friendly and memory-efficient position sampling, and cached variable-patch interpolation.
  • Improve model factory path and checkpoint handling; fix equal-token positional embedding resampling.

July 10, 2026

  • Improve optimizer torch.compile and tensor learning-rate support.
  • Extend NaFlexViT patch-layout (for NaFlex-CLAP), and forward_intermediates (NaFlex dict input) support.
  • Harden pickle loading and improve custom-label inference.
  • Release 1.0.28

May 27, 2026

May 8, 2026

  • Release 1.0.27

April 23, 2026

  • Add Gemma4 ViT encoders w

Social Proof

GitHub Repository
37.1KStars
5.2KForks
Repo Issues
πŸ™ Data Source: GitHub β†—
πŸ”„ Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Tool Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
gh-tool--huggingface--pytorch-image-models
slug
huggingface--pytorch-image-models
source
github
author
huggingface
license
Apache-2.0
tags
pytorch, resnet, pretrained-models, pretrained-weights, distributed-training, mobile-deep-learning, mobilenet-v2, mobilenetv3, efficientnet, augmix, randaugment, mixnet, vision-transformer-models, nfnets, normalization-free-training, maxvit, convnext, image-classification, imagenet, optimizer, python

βš™οΈ Technical Specs

pipeline tag
other

πŸ“Š Engagement & Metrics

downloads
0
stars
37,127
forks
5,195
github stars
37,127

Data indexed from public sources. Updated daily.