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mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml_note

machinelearning的笔记，以及其他编程学习笔记

mlpack

mlpack: a scalable C++ machine learning library --

personalwiki

:notebook: A simple personal wiki of my current knowledge

pysmac

simple python interface to SMAC.

pysparnn

Approximate Nearest Neighbor Search for Sparse Data in Python!

rte

RTE Power Consumption Forecast

shorttermloadforecasting

smac3

Sequential Model-based Algorithm Configuration

spearmint

Spearmint Bayesian optimization codebase

stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-prebuilt

Integrate your project with TensorFlow by simply cloning and linking to this prebuilt library. Support Visual Studio and WIndows.

tensorflow-tutorial

Tensorflow tutorial from basic to hard

tensorflow-world

:earth_americas: Simple and ready-to-use tutorials for TensorFlow

the_math_of_intelligence

This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"

tutorial

all cmake tutorial demo mirror

tutorials

机器学习相关教程

wavelet-wrcoef

:wavy_dash: Reconstruct the coefficients of a one-dimensional signal from a wavelet multiple level decomposition and implement Matlab's function wrcoef in Python

wavelib

C Implementation of Wavelet Transform (DWT,SWT and MODWT)

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

xgboostcpp

Simple C++ interface for xgboost with cross platform and size reduced serialization

zhusuan

A Library for Generative Models