7781 Open source projects that are alternatives of or similar to Pytorch_classification

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Deep learning codes and projects using Python

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

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Python code for common Machine Learning Algorithms

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PyTorch implementation of CNNs for CIFAR benchmark

No description or website provided.

猫狗大战

🙄 Difficult algorithm, Simple code.

Classification with PyTorch.

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A list of popular deep learning models related to classification, segmentation and detection problems

OpenMMLab Image Classification Toolbox and Benchmark

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

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CNN image classifier implemented in Keras Notebook 🖼️.

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CNN image style transfer 🎨.

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MTCNN with Motion Detection, on Raspberry Pi with Love

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

PyTorch Implementation of Deformable Convolution

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Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

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Open Source Landmarking Library

Natural Language Processing with TensorFlow, published by Packt

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

A document covering machine learning basics. 🤖📊

用python做计算机视觉，人工智能，机器学习，深度学习等

Gluon to PyTorch deep neural network model converter

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

A collection of deep learning models (PyTorch implemtation)

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

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Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

采用深度学习方法进行刀具识别。

No description or website provided.

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📚 嵌入式系统基础知识与主流编程语言相关内容总结