SomeAI.org
  • Hot AI Tools
  • New AI Tools
  • AI Category
SomeAI.org
SomeAI.org

Discover 10,000+ free AI tools instantly. No login required.

About

  • Blog

ยฉ 2025 โ€ข SomeAI.org All rights reserved.

  • Privacy Policy
  • Terms of Service
Home
Model Benchmarking
Model Drops Tracker

Model Drops Tracker

Find recent high-liked Hugging Face models

You May Also Like

View All
๐Ÿ“Š

ARCH

Compare audio representation models using benchmark results

3
๐Ÿš€

Can You Run It? LLM version

Determine GPU requirements for large language models

950
๐Ÿš€

Titanic Survival in Real Time

Calculate survival probability based on passenger details

0
๐Ÿ†

Low-bit Quantized Open LLM Leaderboard

Track, rank and evaluate open LLMs and chatbots

166
๐Ÿ“‰

Testmax

Download a TriplaneGaussian model checkpoint

0
๐Ÿฅ‡

TTSDS Benchmark and Leaderboard

Text-To-Speech (TTS) Evaluation using objective metrics.

22
๐ŸŽ™

ConvCodeWorld

Evaluate code generation with diverse feedback types

0
๐Ÿ‹

OpenVINO Benchmark

Benchmark models using PyTorch and OpenVINO

3
๐Ÿฅ‡

OpenLLM Turkish leaderboard v0.2

Browse and submit model evaluations in LLM benchmarks

51
๐Ÿฆพ

GAIA Leaderboard

Submit models for evaluation and view leaderboard

360
๐Ÿš€

Intent Leaderboard V12

Display leaderboard for earthquake intent classification models

0
๐Ÿ’ป

Redteaming Resistance Leaderboard

Display benchmark results

0

What is Model Drops Tracker ?

Model Drops Tracker is a tool designed to help users track and discover recent high-liked Hugging Face models. It simplifies the process of staying updated with the latest models in the machine learning community, focusing on models that have gained significant popularity or traction.

Features

  • Model Aggregation: Curates and organizes models from Hugging Face, focusing on those with high engagement.
  • Filtering Options: Allows users to sort or filter models based on specific criteria, such as release date, popularity, or model type.
  • Integration with Hugging Face: Directly connects to the Hugging Face ecosystem for seamless model exploration.
  • Notifications: Provides alerts for new or trending models, ensuring users stay informed.
  • Open-Source Focus: Built with transparency, offering the community insights into its operations.

How to use Model Drops Tracker ?

  1. Install the Tool: Download and install Model Drops Tracker from the official repository or via pip.
  2. Launch the Application: Run the tool to access the dashboard.
  3. Browse Models: Explore models sorted by popularity or recency.
  4. Set Notifications: Configure alerts for new or trending models.
  5. Monitor Updates: Regularly check for updates and adjust settings as needed.

Frequently Asked Questions

What models are included in Model Drops Tracker?
Model Drops Tracker focuses on models from the Hugging Face Model Hub, particularly those that have received high likes or engagement within the community.

How often is the model list updated?
The list is updated in real-time to reflect the latest models and their popularity rankings.

Can I use Model Drops Tracker for commercial purposes?
Yes, Model Drops Tracker is designed to be used by researchers, developers, and businesses alike, with a focus on open-source accessibility.

Recommended Category

View All
๐Ÿ—’๏ธ

Automate meeting notes summaries

๐Ÿ”ค

OCR

๐Ÿ”–

Put a logo on an image

๐Ÿ’ป

Generate an application

๐ŸŽง

Enhance audio quality

๐ŸŽฌ

Video Generation

๐ŸŽฅ

Create a video from an image

๐Ÿ’ฌ

Add subtitles to a video

๐Ÿค–

Chatbots

๐ŸŽต

Generate music for a video

๐Ÿงน

Remove objects from a photo

๐Ÿ”Š

Add realistic sound to a video

๐Ÿ“

3D Modeling

๐Ÿ”‡

Remove background noise from an audio

๐Ÿฉป

Medical Imaging