I am Satya and I am building trustworthy AI.
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Name: Satyapriya Krishna (Satya)
Type: User
Company: Harvard University
Bio: Phding
Twitter: SatyaScribbles
Location: Boston, MA
Blog: satyapriyakrishna.com
Name: Satyapriya Krishna (Satya)
Type: User
Company: Harvard University
Bio: Phding
Twitter: SatyaScribbles
Location: Boston, MA
Blog: satyapriyakrishna.com
Context Free Grammar(CFG) parser library and application written in Python
Pure Python Spell Checking http://pyspellchecker.readthedocs.io/en/latest/
My Python Examples
Notebooks for "Python for Signal Processing" book
This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.
Create interactive textual heat maps for Jupiter notebooks
Deep Learning (with PyTorch)
PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
VMware vSphere API Python Bindings
Microsoft Quantum Development Kit Samples and Libraries
Important papers on deep learning based NLP
Open-source code for paper "On Structural Explanation of Bias in Graph Neural Networks".
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
Uber's cross-platform mobile architecture framework.
A PyTorch implementation of REINFORCE Learning To Rank on OSHUMED, MQ, etc. dataset. Basic idea also appears in SIGIR'17 Reinforcement Learning to Rank with Markov Decision Process
Census data summarized into tables where each row is a zip code; includes population, area, social, gender/age, racial, economic, rural/urban, and housing information
A Closer Look at Accuracy vs. Robustness
Simple RPN Calculator for CLI.
TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
Sentence Embeddings with BERT & XLNet
A general-purpose encoder-decoder framework for Tensorflow
A game theoretic approach to explain the output of any machine learning model.
Online shopping App built on Android Studio and Firebase Real-time Database.
Siamese and triplet networks with online pair/triplet mining in PyTorch
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.