Doc Jaan Altosaar's Projects
Config files for my GitHub profile.
GitBook version of Dr. Baez's lectures from his online Applied Category Theory course.
A Python implementation of global optimization with gaussian processes.
Calculating CitiBike personal statistics for the community leaderboard 📈 🚴
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
CoFactor: Regularizing Matrix Factorization with Item Co-occurrence
Instead of classifying activity, this app does one thing: tells you how much you sit based on accelerometer data.
User-artist-song Poisson Factorization
Automated expansions of Hamiltonian cumulants for analyzing Monte Carlo simulations.
Deep exponential family models in MXNet/Gluon. Layers o' latents 💤
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
Dotfiles - main development environment is vim + tmux or emacs
Speech recognition framework allowing powerful Python-based scripting and extension of Dragon NaturallySpeaking (DNS), Windows Speech Recognition (WSR), Kaldi and CMU Pocket Sphinx
My commands for Dragonfly, an extension to Dragon NaturallySpeaking.
DyNet: The Dynamic Neural Network Toolkit
Benchmarks for DyNet
implementation of fair dummies
Library for fast text representation and classification.
:hamburger:
Deep Latent Gamma Model / Gamma VAE
Gaussian mixture model implementation in C++ with black box variational inference and control variates
Gradient fuzzing for probabilistic programming
PyTorch implementation of graph ConvNets, NIPS’16
Example of a hapi.js API service running in a serverless Stackery stack
Hierarchical variational models for physics.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent