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Name: Paidamoyo Chapfuwa
Type: User
Company: Microsoft Research, Redmond
Bio: Senior Researcher
Location: USA
Name: Paidamoyo Chapfuwa
Type: User
Company: Microsoft Research, Redmond
Bio: Senior Researcher
Location: USA
ICML 2018: "Adversarial Time-to-Event Modeling"
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
Annealed Importance Sampling (AIS) for generative models.
App to track GRE Words
Control baby incubator temperature sensor via arduino board using ruby.
Experiment with Bayesian Non Parametc Models
Boltzmann Machines in TensorFlow with examples
IEEE TNNLS 2020: "Calibration and Uncertainty in Neural Time-to-Event Modeling"
Calculate and Generate cloud infrastructure statistics
Convolutional Neural Network for Text Classification in Tensorflow
Sort and Display a graph of city, company and people based on txt files
Basic computer configurations i.e oh-my-zsh, intellij idea
ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
Data Science Projects
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Classify EEG Signals
Build first rails app tutorial Part 2.
Introduction to devops exercise. Monitor and deploy application website and database to production.
Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)
http://www.django-rest-framework.org/tutorial
Django tutorial: https://www.youtube.com/watch?v=FNQxxpM1yOs&list=PLQVvvaa0QuDeA05ZouE4OzDYLHY-XH-Nd
Implementation of standard DQN
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
Multivariate imputation and matrix completion algorithms implemented in Python
Build first rails app tutorial Part 1.
GloVe model for distributed word representation
Add, edit and search for GRE words
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.