A^b's starred repositories

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LiteMORT

New gradient boosting library. Faster than LightGBM with same accuracy

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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.

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LiteMORT

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

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LibFM_in_Keras

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

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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.

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Wide-ResDNN

Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow

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remix

This has been moved to https://github.com/ethereum/remix-project

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kaggle-favorita

Code for top 3% result in the Kaggle Corporacion Favorita Grocery Sales Forecasting competition.

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kaggle-quora-dup

Solution to Kaggle's Quora Duplicate Question Detection Competition

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eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

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BatchRenormalization

Batch Renormalization algorithm implementation in Keras

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favorita_sales_forecasting

Solution to CorporaciĂłn Favorita Grocery Sales Forecasting Competition

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python-cloudant

A Python library for Cloudant and CouchDB

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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.

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bracketeer

Generate predicted bracket from a kaggle march madness submission

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DeepGold

DeepGold using convolution network features to learn mineral data

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kivy

Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS

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mnistCRNN

Simple TimeDistributed() wrapper Demo in Keras; sums images of MNIST digits

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tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

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Deep-Trading

Algorithmic trading with deep learning experiments

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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

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xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

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neuralnilm

Deep Neural Networks Applied to Energy Disaggregation

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awesome-deep-learning-papers

The most cited deep learning papers

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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gluon-api

A clear, concise, simple yet powerful and efficient API for deep learning.

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