164 Open source projects that are alternatives of or similar to Cikm_analyticup_2017

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Serverless Inferencing on Kubernetes

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700

Neural Machine Translation with Keras

Attempt to predict future stock prices based on Google Trends data.

住房月租金预测大数据赛TOP1

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RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Relation Classification - SEMEVAL 2010 task 8 dataset

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

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A full pipeline AutoML tool for tabular data

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)

Automatic machine learning for tabular data. ⚡🔥⚡

An extension of XGBoost to probabilistic forecasting

Earthquake Prediction Challenge with LightGBM and XGBoost

AI比赛相关信息汇总

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

Original implementation of Calibrated Boosting-Forest

stratigraphic machine-learning - active work moved to Predictatops

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Animated Visualizations of Popular Machine Learning Algorithms

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

A Scala feature transformation library for data science and machine learning

Material of the Kaggle Berlin meetup group!

language models toolkits with hierarchical softmax setting

An End to End Customer Churn Prediction solution using AWS services.

Serverless Inferencing on Kubernetes

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

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

Convolutional GRU

百度云魅族深度学习应用大赛

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

[Done] Master version: developed the stacked regression (score 0.11, top 5%) based on (xgboost, sklearn). Branch v1.0: developed linear regression (score 0.45) based on Tensorflow

Show how to perform fast retraining with LightGBM in different business cases

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

A toolkit for neural language modeling using Tensorflow including basic models like RNNs and LSTMs as well as more advanced models.

Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.

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

Real time eye tracking for embedded and mobile devices.

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This is my graduation project in BIT. Title: Noise Reduction Using GRU.

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A curated list of gradient boosting research papers with implementations.

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

Application of machine learning to the Coinbase (GDAX) orderbook

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

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LSTM, GRU cell implementation from scratch in tensorflow