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The Top 13 Python Pytorch Cnn Classification Open Source Projects

Open source projects categorized as Python Pytorch Cnn Classification
Categories > Cnn Classification
Benchmarking Keras Pytorch ⭐ 342
🔥 Reproducibly benchmarking Keras and PyTorch models
most recent commit 3 years ago
Edgenets ⭐ 340
This repository contains the source code of our work on designing efficient CNNs for computer vision
most recent commit 3 years ago
Mobilenet V2 ⭐ 201
A Complete and Simple Implementation of MobileNet-V2 in PyTorch
most recent commit 6 years ago
Explainable Cnn ⭐ 196
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
total releases 10most recent commit 10 months ago
Deeplearning_plantdiseases ⭐ 156
Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.
most recent commit 3 years ago
Se_densenet ⭐ 64
This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen and Gang Sun) module, writen in Pytorch, train and eval codes have been released.
most recent commit 4 years ago
Deeplearning Padhai ⭐ 39
All the code files related to the deep learning course from PadhAI
most recent commit 4 years ago
Deepvision ⭐ 18
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.
most recent commit a year ago
Cnn_explainer ⭐ 11
Making CNNs interpretable.
most recent commit 3 years ago
Finger Detection Lite ⭐ 11
Real-time Index Finger Detection for the ☝️ Gesture Proof-of-Concept
most recent commit 6 years ago
Ai Competition Huawei ⭐ 9
Code of HuaWeiCloud AI competition: classification.
most recent commit 4 years ago
Dlbook ⭐ 7
Repository for the free online book Oddly Satisfying Deep Learning from Scratch (link below!)
most recent commit a year ago
Svhn Recognition ⭐ 7
This project is a PyTorch implementation that uses deep CNN to recognize multi-digit numbers using the SVHN dataset derived from Google Street View house numbers, each picture contains a set of numbers from 0 to 9, the model is tested to have 89% accuracy.| 使用深度卷积神经网络从街景图像中识别多位数门牌号的PyTorch实现方案，使用的数据集为SVHN，来
most recent commit 3 months ago
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