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Name: Peyman Bateni
Type: User
Company: Meta
Bio: MLE @ Meta | BSc+MSc CS+ML @ UBC | Next 36, CDL, e@UBC
Twitter: peymanbateni
Name: Peyman Bateni
Type: User
Company: Meta
Bio: MLE @ Meta | BSc+MSc CS+ML @ UBC | Next 36, CDL, e@UBC
Twitter: peymanbateni
Source code for the A+ Expert dashboard and client management service.
This repo contains implementation of different architectures for emotion recognition in conversations
A simple example swift-pm for demonstrating c++ interop.
This repository contains the code for the foppl evaluator.
A dataset of datasets for learning to learn from few examples
Multi-model analysis of sentiment and emotion in multi-speaker conversations.
Evaluating multiple novel approaches for adjective use in image captioning.
Repository for maintaining personal academic web-page!
This repository contains my personal academic webpage.
Deep universal probabilistic programming with Python and PyTorch
Classification with PyTorch.
Code for a python based implementation of a FOPPL SMC sampler.
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
This is the public github for our paper "Transformer with a Mixture of Gaussian Keys"
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.