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Type: User
Company: Arizona State University
Location: Phoenix
Type: User
Company: Arizona State University
Location: Phoenix
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.
Binarized Neural Network (BNN) for pytorch
BNN implementation in tensorflow
A project that uses nearest neighbor graphs for non-parametric estimation of Bayes error and f-divergence
Charsiu: A neural phonetic aligner.
Deep Learning Projects for CV
Deep Learning for Computer Vision Projects
COVID-19 Vulnerability Index
An implementation of the state-of-the-art Deep Active Learning algorithms
Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:
g2p: English Grapheme To Phoneme Conversion
Transfer learning approach to pronunciation scoring
Code for the ICASSP 2022 paper "Transformer-Based Multi-Aspect Multi-Granularity Non-native English Speaker Pronunciation Assessment".
Hands-On Data Structures and Algorithms with Python Second Edition, published by Packt
Limitations of the Empirical Fisher Approximation
Code for visualizing the loss landscape of neural nets
Research framework for low resource text classification that allows the user to experiment with classification models and active learning strategies on a large number of sentence classification datasets, and to simulate real-world scenarios. The framework is easily expandable to new classification models, active learning strategies and datasets.
A collection of machine learning examples and tutorials.
Official PyTorch implementation of "Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error"
Machine learning course materials.
PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation
CSE 571 Homework 2
PRML algorithms implemented in Python
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.