rbarnwal Goto Github PK
Name: Rajesh P Barnwal
Type: User
Name: Rajesh P Barnwal
Type: User
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
NVIDIA's Automatic Mixed Precision(AMP) is applied on a language model used for trigger word detection. Main aim is to find out if AMP helps the model to converge faster.
TensorFlow examples
Industrial DataLogger Design files and Firmware Files
Industrial IoT Workshop Setup Development Environment Lab
Open Source Computer Vision Library
Repository for Programming Assignment 2 for R Programming on Coursera
Synthetic Data Generated from PS-Sim simulator for Participatory Sensing Research
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
Scenic: A Jax Library for Computer Vision Research and Beyond
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.