1357 Open source projects that are alternatives of or similar to Kaggle Competition Favorita

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Solution to Kaggle - Web Traffic Time Series Forecasting

Library of autoencoders for sequential data

keras를 이용한 딥러닝 기초 학습

TensorFlow template application for deep learning

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

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.

Implementation of Neural Image Captioning model using Keras with Theano backend

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

MLBox is a powerful Automated Machine Learning python library.

PyTorch tutorial for learners

Time Series Forecasting Best Practices & Examples

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Predict Cryptocurrency Price with Deep Learning

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

A Benchmark of Text Classification in PyTorch

Some interesting TensorFlow tutorials for beginners.

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Implementation of papers for text classification task on DBpedia

Augmenting word embeddings with their surrounding context using bidirectional RNN

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

CNN for stock market prediction using raw data & candlestick graph.

GANs for time series generation in pytorch

1st place solution

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

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

Open solution to the Home Credit Default Risk challenge 🏡

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

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

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

List of papers, code and experiments using deep learning for time series forecasting

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

in progress

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

All about Neural Networks!

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

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

CNN+LSTM+CTC based OCR implemented using tensorflow.

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

NN based lossless compression

Diseases Detection from NIH Chest X-ray data

CNN, LSTM, NBOW, fasttext 中文文本分类

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

Sarcasm detection on tweets using neural network

The Official Deep Learning Framework for Route-based Place Recognition

The deeplearning algorithms implemented by tensorflow

convolutional lstm implementation in pytorch

Annotation of ECG signals using deep learning, tensorflow’ Keras

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

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

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.

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