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Name: Jae Hyun Lim
Type: User
Bio: PhD candidate, Mila, UdeM
Twitter: jaehyunlim0606
Location: Montreal, Québec, Canada
Blog: jaehyunlim.com
Name: Jae Hyun Lim
Type: User
Bio: PhD candidate, Mila, UdeM
Twitter: jaehyunlim0606
Location: Montreal, Québec, Canada
Blog: jaehyunlim.com
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
2011-2012, with John FisherIII, Maurice Fallon, modeling driver history using Can bus messages
A beautiful Jekyll theme for academics
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Web interface for browsing, search and filtering recent arxiv submissions
PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo
in progress
Pytorch implementation of Block Neural Autoregressive Flow (http://arxiv.org/abs/1904.04676)
Bayesian Program Learning model for one-shot learning
Caffe: a fast open framework for deep learning.
customized caffe-dev
Caffe fork that supports Fast R-CNN
re-implementation of googlenet batch normalization
re-implementation of googlenet batch normalization
Implementation of PoseNet
caffe-posenet-googlenet
Bitcoin trading bot with a real-time dashboard for Bitstamp.
Implementations of ideas from recent papers
Torch-7 FFI bindings for NVIDIA CuDNN
A torch implementation of http://arxiv.org/abs/1511.06434
Deep Convolutional Generative Adversarial Networks
Official codebase for "Score-based Diffusion Models in Function Space"
Deep Residual Learning for Image Recognition
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.
Dynamic evaluation for pytorch language models, now includes hyperparameter tuning
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
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.