jsbaan Goto Github PK
Name: Joris Baan
Type: User
Company: University of Amsterdam
Bio: PhD Candidate in Machine Learning and Natural Language Processing
Twitter: jsbaan
Location: Amsterdam
Blog: jorisbaan.nl
Name: Joris Baan
Type: User
Company: University of Amsterdam
Bio: PhD Candidate in Machine Learning and Natural Language Processing
Twitter: jsbaan
Location: Amsterdam
Blog: jorisbaan.nl
Interactive in-browser attention visualizer tool for recurrent networks
Code accompanying the EMNLP 2022 paper "Stop Measuring Calibration When Humans Disagree" in which we show problems with popular calibration metrics like ECE in settings where more than one answer is acceptable, and argue for several metrics that take into account the full human judgement distribution.
Implements image classification using handcrafted SIFT features as well as CNN extracted features for the course Computer Vision 1
This repo forms a refactor of the code for a project that focussed on Neural Machine Translation
Java-based implementation of the game Legends of Arborea
This repo implements GAN-based models for Dialogue Generation (DP-GAN, SeqGAN, and our own proposed DPAC-GAN)
Encoder-decoder model with attention (Luong), with two LSTM layers with 500 hidden units on both encoder and decoder side. The vocabulary size on both source (english) and target side (Dutch) is 50000. The model is trained on the train part of the TED dataset (https://wit3.fbk.eu/mt.php?release=2017-01-trnmted), maximum sequence length 50.
Prolog-based Knowledge Systems on toy problems
Codebase for the i-machine-think project, a modular and fully tested Pytorch implementation for seq2seq models.
Project for the course Reinforcement Learning about natural gradients
Project on autonomous racing in the Torcs simulator using RNNs, NeuroEvolution of Augmenting Topologies (NEAT) and Swarm Intelligence for the course Computational Intelligence
Code to probe Natural Language Generation (NLG) systems for their uncertainty, and to evaluate it against human production variability (i.e., aleatoric uncertainty)
Implements oldschool NLP methods for the course Natural Language Processing 1
Implements IBM1 & IBM 2 with Variational Bayes for the course Natural Language Processing 2
Well documented, unit tested, type checked and formatted implementation of a vanilla transformer - for educational purposes.
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.