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algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

auto_car

树莓派小车

autofdo_tutorial

AutoFDO tutorial

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

binarynet-caffe2

Quantized Neural Network on Caffe2

bosssensor

Hide screen when boss is approaching.

caffe

Caffe: a fast open framework for deep learning.

caffe-yolo

YOLO (Real-Time Object Detection) in caffe

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

cis565_final_clothsim

coding-interview-university

A complete computer science study plan to become a software engineer.

compress

cudahandbook

Source code that accompanies The CUDA Handbook.

dac-hdc-2018-object-detection-in-jetson-tx2

dac18-contest-gpu-v1

OSSDC Repository for 2018 DAC System Design Contest - GPU - http://www.cse.cuhk.edu.hk/~byu/2018-DAC-HDC/

ebook

classic books of computer science

ethminer

Ethereum miner with OpenCL, CUDA and stratum support

fusion

Multi-level coherence protocols for hardware accelerators (FUSION, ISCA 2015)

goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

gpgpu-sim_distribution

GPGPU-Sim provides a detailed simulation model of a contemporary GPU (such as NVIDIA's Fermi and GT200 architectures) running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.

gpgpu-sim_simulations

A repository that compliments gpgpu-sim, providing automated regression scripts, simulation launching utilities and the code + arguments for simulations that complete in a reasonable amount of time on GPGPU-Sim.

gpgpusim-ruby

Merging of two popular simulators GPGPUSIM and RUBY for our HPCA 2013 paper

gvprof

GVProf: A Value Profiler for GPU-based Clusters

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

hangzhouyunqi2017ppt

heterogeneity-aware-lowering-and-optimization

heterogeneity-aware-lowering-and-optimization

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

info_agriculture

ipv6-hosts

Forked from the inactive Google Code project ipv6 hosts: https://code.google.com/p/ipv6-hosts/