A^b's starred repositories
TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
LibFM_in_Keras
This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.
python-conv-lib
A lightweight library to do for-loop-styled convolution passes on your iterable objects (e.g.: on a list). Note: this is not a convolution, it is about exposing what would the kernel pass on in the first place in your loops.
Wide-ResDNN
Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
kaggle-favorita
Code for top 3% result in the Kaggle Corporacion Favorita Grocery Sales Forecasting competition.
kaggle-quora-dup
Solution to Kaggle's Quora Duplicate Question Detection Competition
BatchRenormalization
Batch Renormalization algorithm implementation in Keras
favorita_sales_forecasting
Solution to CorporaciĂłn Favorita Grocery Sales Forecasting Competition
python-cloudant
A Python library for Cloudant and CouchDB
get-started-python
A Python application and tutorial that use Flask framework to provide a REST API to receive requests from the UI. The API then persists the data to a Cloudant database.
bracketeer
Generate predicted bracket from a kaggle march madness submission
tensorflow-wavenet
A TensorFlow implementation of DeepMind's WaveNet paper
Deep-Trading
Algorithmic trading with deep learning experiments
Kaggle-Competition-Sberbank
Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
neuralnilm
Deep Neural Networks Applied to Energy Disaggregation
awesome-deep-learning-papers
The most cited deep learning papers
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"