A^b's repositories
sortpool2d
A new kind of pooling layer for faster and sharper convergence
Tencent_Social_Ads2017_Mobile_App_pCVR
Tencent Social Ads 2017 contest rank 20;2017腾讯社交广告高校算法大赛 移动App转化率预估 Rank20
instacart-basket-prediction
Kaggle | Instacart Market Basket Analysis🥕🥉
Tencent2017_Final_Rank28_code
2017第一届腾讯社交广告高校算法大赛Rank28_code
lstm-load-forecasting
Electricity load forecasting with LSTM (Recurrent Neural Network)
bit-of-data-science-and-scikit-learn
Youtube tutorial associated content
DAE
denoising autoencoder
NLP-Sentiment-Analysis-Twitter
[Natural Language Processing] Using NLTK-3 and Sklearn to train different machine learning classifiers and then using an average system to produce the best optimized sentiment analysis of Twitter feeds.
avazu-ctr
Click Through Rate !
Electric-Power-Hourly-Load-Forecasting-using-Recurrent-Neural-Networks
This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.
numerai
Code from my experiments on Numerai
DeepGold
DeepGold using convolution network features to learn mineral data
python-bhtsne
Python module for Barnes-Hut implementation of t-SNE (Cython)
stacked-denoising-autoencoders
sklearn wrappers for stacked denoising autoencoders
freight-transport-network
Python implementation of a bimodal (railway and roadway) freight transport network cost model.