6252 Open source projects that are alternatives of or similar to Visualizing_cnns

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

All about Neural Networks!

A deep learning based gaze estimation framework implemented with PyTorch

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... ...

CNN for intent classification task in a Chatbot

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

Some interesting TensorFlow tutorials for beginners.

Implementation of Neural Image Captioning model using Keras with Theano backend

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

PyTorch tutorials A to Z

📚 嵌入式系统基础知识与主流编程语言相关内容总结

The deeplearning algorithms implemented by tensorflow

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

Sequence-to-Sequence Framework in PyTorch

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

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

Exercise notebooks for CVND.

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

food image to recipe with deep convolutional neural networks.

Text classification models. Used a submodule for other projects.

Visualisations for Convolutional Neural Networks in Pytorch

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

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.

[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.

DLTK Model Zoo

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

PyTorch implementation of SIFT descriptor

Natural Language Processing with TensorFlow, published by Packt

Image Captioning using InceptionV3 and beam search

PyTorch Implementation of Deformable Convolution

Paper reading notes on Deep Learning and Machine Learning

Convolutional Neural Network for Human Activity Recognition in Tensorflow

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

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

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Music recommender using deep learning with Keras and TensorFlow

Code for Tensorflow Machine Learning Cookbook

Predict Cryptocurrency Price with Deep Learning

Solution to Kaggle - Web Traffic Time Series Forecasting

Service Classification based on Service Description

Try out deep learning models online on Google Colab

CNN image style transfer 🎨.

Diseases Detection from NIH Chest X-ray data

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

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

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

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

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

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

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

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

PyTorch tutorial for learners

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

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

keras를 이용한 딥러닝 기초 학습

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

Object classification with CIFAR-10 using transfer learning

CNN image classifier implemented in Keras Notebook 🖼️.