6888 Open source projects that are alternatives of or similar to Lidc_nodule_detection

Image Captioning using InceptionV3 and beam search

PyTorch tutorial for learners

keras를 이용한 딥러닝 기초 학습

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

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

Predict Cryptocurrency Price with Deep Learning

Some interesting TensorFlow tutorials for beginners.

Implementation of Neural Image Captioning model using Keras with Theano backend

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

MTCNN with Motion Detection, on Raspberry Pi with Love

The deeplearning algorithms implemented by tensorflow

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

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

Natural Language Processing with TensorFlow, published by Packt

All about Neural Networks!

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

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

[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.

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

MTCNN face detection implementation for TensorFlow, as a PIP package.

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

LSTM and GRU in PyTorch

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

Sarcasm detection on tweets using neural network

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

DLTK Model Zoo

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

All my experiments with AI and ML

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

PyTorch implementation of SIFT descriptor

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

Collections of model quantization algorithms

Dstl Satellite Imagery Feature Detection

Object classification with CIFAR-10 using transfer learning

S3FD: single shot face detector in pytorch

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

convolutional lstm implementation in pytorch

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

CNN, LSTM, NBOW, fasttext 中文文本分类

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

CNN image classifier implemented in Keras Notebook 🖼️.

Using Keras and cats to visualize layers from CNNs

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Anomaly detection tutorial on univariate time series with an auto-encoder

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

TensorFlow template application for deep learning

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

Chinese Poetry Generation

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations