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avx_project

caffe

Caffe: a fast open framework for deep learning.

cpp-ethereum

Ethereum C++ client

crl

Implementation of the paper "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching"

cublashgemm-p100

Code for testing the native float16 matrix multiplication performance on Tesla P100 GPU based on cublasHgemm

cudapad

CudaPAD is a PTX/SASS viewer for NVIDIA Cuda kernels and provides an on-the-fly view of the assembly.

dash

Interactive, Reactive Web Apps for Python. Dash Is Productive™

deeplearningnotes

机器学习和量化分析学习进行中

demo_python

huobi api python demo

dispflownet-tf

Tensorflow implementation of https://lmb.informatik.uni-freiburg.de/Publications/2016/MIFDB16

eppminer

ethminer

Ethereum miner with CUDA and stratum support

fastfusion

Volumetric 3D Mapping in Real-Time on a CPU

freqtrade

Simple High Frequency Trading Bot for crypto currencies

ftplugin

富途行情交易开放接口

gpgpu-ramulator-simulator

Replace original DRAM model in GPGPU-sim with Ramulator DRAM model

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.

gpu_memory_access_experiment

gpumembench

A GPU benchmark suite for assessing on-chip GPU memory bandwidth

gpupowermodel

heft

A static scheduling heuristic

horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

jview

a image viewer for exr, pfm, and ppm.

kmcuda

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

mafia

MAFIA: Multiple Application Framework for GPU architectures

mixbench

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

mosaic

Source code of the simulator used in the Mosaic paper from MICRO 2017: "Mosaic: A GPU Memory Manager with Application-Transparent Support for Multiple Page Sizes" https://people.inf.ethz.ch/omutlu/pub/mosaic-application-transparent-multiple-page-sizes-for-GPUs_micro17.pdf

mxnet

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

practical-machine-learning

The codes for assignments and final project of Practical Machine Learning on Coursera

psmnet

Pyramid Stereo Matching Network (CVPR2018)