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

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

Convert TensorFlow models to ONNX

Collections of model quantization algorithms

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

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

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.

Service Classification based on Service Description

Implementation of papers for text classification task on DBpedia

A deep learning based gaze estimation framework implemented with PyTorch

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

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

Another attempt to use Deep-Learning in the financial markets

LSTM-CRF for NER with ConLL-2002 dataset

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Visualisations for Convolutional Neural Networks in Pytorch

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

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.

The Official Deep Learning Framework for Route-based Place Recognition

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

NN based lossless compression

My Attempt(s) In The World Of ML/DL....

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

코딩셰프의 3분 딥러닝, 케라스맛

PyTorch tutorials A to Z

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

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

TensorFlow template application for deep learning

DLTK Model Zoo

[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.

All my experiments with AI and ML

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

S3FD: single shot face detector in pytorch

Sarcasm detection on tweets using neural network

Object classification with CIFAR-10 using transfer learning

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)

convolutional lstm implementation 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

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

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

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

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

Using Keras and cats to visualize layers from CNNs

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

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

CNN image classifier implemented in Keras Notebook 🖼️.

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

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

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

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

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

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

Chinese Poetry Generation

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

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

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting