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adaptiverandomforest

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

benchmarks

This is rodinia and parboil benchmarks modified to measure single kernels within each application

bigdata-in-docker

Make it easier to learn big data

captainblackboard

船长关于机器学习、计算机视觉和工程技术的总结和分享

chainer-trt

Chainer x TensorRT

cifar-zoo

PyTorch implementation of CNNs for CIFAR benchmark

cnn-benchmarks

Benchmarks for popular CNN models

cnn-inference-time-calculation

Programs to calculate the time taken to compute the conv layers of Alexnet, Resnet34, VGG16, VGG19 (In Pytorch)

comprehensive_crm

Time Series Forecast with Prophet, VARMAX and LSTM

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

cupti_profiler

CUPTI GPU Profiler

cupti_samples

CUPTI samples from NVIDIA

deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

energy-languages

The complete set of tools for energy consumption analysis of programming languages, using Computer Language Benchmark Game

gpu-rodinia

Rodinia benchmark

gpu_monitor

Monitor your GPUs whether they are on a single computer or in a cluster

halo

✍ Halo 一款现代化的个人独立博客系统

hetero-mark

A Benchmark Suite for Heterogeneous System Computation

hpc4e-project

incubator-samoa

Mirror of Apache Samoa (Incubating)

jalen

A Java Agent for Software Fine-grained Energy Monitoring

learning-markdown

Markdown guidance and reference(Markdown 入门参考)

libmsr

Wrapper library for model-specific registers. APIs cover RAPL, performance counters, clocks and turbo.

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

memory_profiler

Monitor Memory usage of Python code

metrics-sigar

Metrics + Hyperic Sigar for OS-level monitoring

mgbench

Multi-GPU Computing Benchmark Suite (CUDA)

mixbench

A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP)

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"