timm-flutter-pytorch-lite-blogpost VS computervision-recipes

Compare timm-flutter-pytorch-lite-blogpost vs computervision-recipes and see what are their differences.

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timm-flutter-pytorch-lite-blogpost computervision-recipes
7 1
36 9,115
- -
2.4 3.9
about 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

timm-flutter-pytorch-lite-blogpost

Posts with mentions or reviews of timm-flutter-pytorch-lite-blogpost. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-14.

computervision-recipes

Posts with mentions or reviews of computervision-recipes. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing timm-flutter-pytorch-lite-blogpost and computervision-recipes you can also consider the following projects:

EfficientConformer - [ASRU 2021] Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition

fastdup - fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

smletsexchangeconnector - SMLets PowerShell based Exchange Connector for controlling Microsoft System Center Service Manager 2016+

notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

infery-examples - A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

seq_nms - PyTorch implementation of seq-nms

VIAME - Video and Image Analytics for Multiple Environments

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.