Charlotte's repositories

dlwin

GPU-accelerated Deep Learning on Windows 10 native

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Frog

Frog is Asynchronous Graph Processing on GPU with Hybrid Coloring Model. The fundamental idea is based on Pareto principle (or 80-20 rule) about coloring algorithms as we observed through masses of real graph coloring cases.

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Galois

Galois: C++ library for multi-core and multi-node parallelization

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graphchi-cpp

GraphChi's C++ version. Big Data - small machine.

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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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kepler.gl

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

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Medusa

Medusa: Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code

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nccl

Optimized primitives for collective multi-GPU communication

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ppopp17-artifact

Artifact evaluation package for PPoPP 2017

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pybind11

Seamless operability between C++11 and Python

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sep-graph

This is the repo of "SEP-Graph: Finding Shortest Execution Paths for Graph Processing under a Hybrid Framework on GPU"

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Socket-Program

C++&&Java socket网络编程 学习socket 案例快速入手

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tbb

Official Intel(R) Threading Building Blocks (Intel TBB) GitHub repository.

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tensorflow-gpu-integration

testing tensorflow with GPU integration

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Totem

A graph processing engine for hybrid CPU and GPU platforms

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