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Name: Emma
Type: User
Company: Google
Bio: A computer architect working on speeding up machine learning.
Location: Mountain View, CA
Blog: yuemmawang.github.io
Name: Emma
Type: User
Company: Google
Bio: A computer architect working on speeding up machine learning.
Location: Mountain View, CA
Blog: yuemmawang.github.io
cs262 2nd project
A Bayesian Inference Benchmark Suite.
Bayesian Network learning algorithm. Implemented in CUDA.
Repository for example code for CS 262, Distributed Computing
Reference workloads for modern deep learning methods.
This is the official source code of FreeCAD
LLFI is an LLVM based fault injection tool, that injects faults into the LLVM IR of the application source code. The faults can be injected into specific program points, and the effect can be easily tracked back to the source code. Please refer to paper below for more details:
An LLVM pass to profile dynamic LLVM IR instructions and runtime values
Mille Crepe Bench: layer-wise performance analysis for deep learning frameworks.
ParaDnn: A systematic performance analysis methodology for deep learning.
Profile Stan workloads
The SHOC Benchmark Suite
Computation using data flow graphs for scalable machine learning
Reference models and tools for Cloud TPUs.
Workload ISA-Independent Characterization of Applications
A detailed michroarchitectural x86 simulator
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.