6252 Open source projects that are alternatives of or similar to Pytorch Sift

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

A deep learning based gaze estimation framework implemented with PyTorch

Solution to Kaggle - Web Traffic Time Series Forecasting

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

PyTorch tutorials A to Z

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Exercise notebooks for CVND.

Code for Tensorflow Machine Learning Cookbook

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Service Classification based on Service Description

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Face identification with cnn+triplet-loss written by Keras.

Diseases Detection from NIH Chest X-ray data

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

Datasets, tools, and benchmarks for representation learning of code.

PyTorch Implementation of Deformable Convolution

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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

CNN image style transfer 🎨.

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

Sequence-to-Sequence Framework in PyTorch

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Predict Cryptocurrency Price with Deep Learning

food image to recipe with deep convolutional neural networks.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

Implementation of Neural Image Captioning model using Keras with Theano backend

Some interesting TensorFlow tutorials for beginners.

QA - Answer Selection (Rank candidate answers for a given question)

A neural network that transforms a design mock-up into a static website.

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

This toolbox is support material for the book on CNN (http://www.convolution.network).

Text classification models. Used a submodule for other projects.

keras를 이용한 딥러닝 기초 학습

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

Try to use tf.estimator and tf.data together to train a cnn model.

All about Neural Networks!

PyTorch tutorial for learners

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

CNN for intent classification task in a Chatbot

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

MTCNN with Motion Detection, on Raspberry Pi with Love

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A End to End CNN Model which predicts the steering wheel angle based on the video/image

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