ensembles-1.md

Ensembles

Numpy Blas:

1. How do i know which version of blas is installed
2. Benchmark OpenBLAS, Intel MKL vs ATLAS ****

1. Another comparison
2. 

GLUE:

1. Glue / super glue

State of the art in AI:

1. In terms of domain X datasets

Cloud providers:

• Part 1, part 2 y gensim

Datasets:

• EFF FF Benchmarks in AI

Hardware:

• Nvidia 1070 vs 1080 vs 2080
• Cpu vs GPU benchmarking for CNN\Test\LTSM\BDLTSM - google and amazon vs gpu
• Nvidia GPUs - titax Xp\1080TI\1070 on googlenet
• March\17 - Nvidia GPUs for desktop, in terms of price and cuda units, the bottom line is 1060-1080.
• Another bench up to 2013 - regarding many GPUS vs CPUs in terms of BW

Platforms

• Cntk vs tensorflow
• CNTK, TEnsor, torch, etc on cpu and gpu ****

Algorithms:

• Comparing accuracy, speed, memory and 2D visualization of classifiers:

SVM, ****k-nearest neighbors, ****Random Forest, ****AdaBoost Classifier, ****Gradient Boosting, ****Naive, Bayes, ****LDA, ****QDA, ****RBMs, ****Logistic Regression, ****RBM + Logistic Regression Classifier

• LSTM vs cuDNN LS1TM - batch size of power 2 matters, the latter is faster.

Scaling networks and predicting performance of NN:

• A great overview of NN types, but the idea behind the video is to create a system that can predict train time and possibly accuracy when scaling networks using multiple GPUs, there is also a nice slide about general hardware recommendations.

NLP

• XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization