【基于Theano的可擴(kuò)展深度學(xué)習(xí)框架deepy】"deepy: Highly extensible deep learning framework based on Theano" GitHub:O網(wǎng)頁鏈接
【開源:基于Theano的CNN實現(xiàn)(dropouts/adagrad/momentum/max-margin layer/...)】O網(wǎng)頁鏈接
【可重現(xiàn)數(shù)據(jù)驅(qū)動研究平臺REP】全稱是Reproducible Experiment Platform丘逸，統(tǒng)一封裝TMVA, Sklearn, XGBoost, Uboost等分類實現(xiàn)已卸，進(jìn)行大數(shù)據(jù)集共享一致性對比試驗晚顷，可在集群上完成并行訓(xùn)練 GitHub:O網(wǎng)頁鏈接REP(Reproducible Experiment Platform)文檔:O網(wǎng)頁鏈接
【開源:Scikit-Learn兼容的(Python)半監(jiān)督學(xué)習(xí)框架】"Semi-supervised learning frameworks for Python" GitHub:O網(wǎng)頁鏈接
【高效的Python數(shù)據(jù)分析框架Ibis】O網(wǎng)頁鏈接GitHub:O網(wǎng)頁鏈接通過IPN了解Ibis:O網(wǎng)頁鏈接Slide:《Ibis: Scaling the Python Data Experience》O網(wǎng)頁鏈接云:O網(wǎng)頁鏈接
【(Python)深度學(xué)習(xí)框架/庫/工具匯總介紹】《Frameworks and Libraries for Deep Learning》Theano/Pylearn2/Blocks/Keras/LasagneO網(wǎng)頁鏈接
【數(shù)據(jù)可視化框架/庫/軟件大列表】"Awesome dataviz"O網(wǎng)頁鏈接
【(Python)三行代碼實現(xiàn)Hinton's Dropout】《Hinton's Dropout in 3 Lines of Python - How to install Dropout into a neural network by only changing 3 lines of python》by TraskO網(wǎng)頁鏈接
【GoogLeNet類可視化】《Visualizing GoogLeNet Classes》O網(wǎng)頁鏈接GitHub(DeepDraw):O網(wǎng)頁鏈接
【開源:(Python)方便的"One Pass"統(tǒng)計/回歸計算庫RunStats】"RunStats: Computing Statistics and Regression in One Pass"O網(wǎng)頁鏈接
【幻燈:(PyData 2015)機(jī)器學(xué)習(xí)系統(tǒng)觀】《PyData 2015 Keynote: "A Systems View of Machine Learning"》by Joshua BloomO網(wǎng)頁鏈接云:O網(wǎng)頁鏈接
【開源:(Python)馬爾可夫鏈蒙特卡羅(MCMC)繪圖包】"Python package to plot MCMC samples"O網(wǎng)頁鏈接
