Deep-Learning-Computer-Vision VS HugsVision

Compare Deep-Learning-Computer-Vision vs HugsVision and see what are their differences.

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. (by seloufian)
Computer Vision visual-recognition Machine Learning Deep Learning convolutional-neural-networks Python Numpy Pytorch assignment stanford michigan cs231n cs231n-assignment eecs498-007
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HugsVision

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision (by qanastek)
huggingface Transformers Computer Vision pretrained-models image-classification semantic-segmentation object-detection image-generation pythorch pytorch-transformers Yolo vit deit detr Pytorch Deep Learning Machine Learning state-of-the-art Bert torchvision
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Deep-Learning-Computer-Vision HugsVision
1 1
106 188
- -
2.6 0.0
about 3 years ago 9 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
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Deep-Learning-Computer-Vision

Posts with mentions or reviews of Deep-Learning-Computer-Vision. We have used some of these posts to build our list of alternatives and similar projects.

HugsVision

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

What are some alternatives?

When comparing Deep-Learning-Computer-Vision and HugsVision you can also consider the following projects:

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

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

stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

fashionpedia-api - Python API for Fashionpedia Dataset

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

CoordConv

pytorch-implementations - A collection of paper implementations using the PyTorch framework

Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Deep-Learning-Computer-Vision vs cs231n HugsVision vs poolformer Deep-Learning-Computer-Vision vs stanford-CS229 HugsVision vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning Deep-Learning-Computer-Vision vs ktrain HugsVision vs fashionpedia-api Deep-Learning-Computer-Vision vs computervision-recipes HugsVision vs ganspace Deep-Learning-Computer-Vision vs Face-Mask-Detection HugsVision vs CoordConv Deep-Learning-Computer-Vision vs pytorch-implementations HugsVision vs Transformer-Explainability