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

A Benchmark of Text Classification in PyTorch

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

1st place solution

Diseases Detection from NIH Chest X-ray data

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.

PyTorch tutorial for learners

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

lidc nodule detection with CNN and LSTM network

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

Natural Language Processing with TensorFlow, published by Packt

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Efficient, transparent deep learning in hundreds of lines of code.

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

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Using LSTM network for time series forecasting

Solution to Kaggle's PLAsTiCC Astronomical Classification Competition

Anomaly detection for temporal data using LSTMs

a solution for competition of kaggle `Human or Robot`

A Keras library for multi-step time-series forecasting.

stock predict by cnn and lstm

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

Open solution to the Mapping Challenge 🌎

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

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

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 🏡

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

keras를 이용한 딥러닝 기초 학습

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

GANs for time series generation in pytorch

convolutional lstm implementation in pytorch

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

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

Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

Release Docker builds of TimescaleDB

Simple Convolutional Neural Network Library

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

Time Series Cross-Validation -- an extension for scikit-learn

scikit-learn-inspired time series

Tutorial Sessions for SciPy Con 2019

Using Keras and cats to visualize layers from CNNs

Activity Recognition from 2D pose using an LSTM RNN

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

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

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Extending broom for time series forecasting

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.

基于RNN生成古诗

小帅一点资讯微信小程序图像识别源码，微信小程序百度AI接口源码，微信小程序图片上传显示缩放缩略图,人工智能，图像识别，人脸颜值分析，植物、动物、车型、LOGO、食材、手写文字识别等

Scalable 1D Gaussian Processes in C++, Python, and Julia

Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training

Live Quant Trading Framework for Robinhood, using IEX Trading and AlphaVantage for Free Prices.

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)