mhw32

Mike Wu's repositories

multimodal-vae-public

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Language:PythonMIT153 4 5

rubric-sampling-public

PyTorch implementation for "Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference" (https://arxiv.org/abs/1809.01357).

Language:PythonMIT19 30

adaware-nlp

A toolkit of random natural language predictive models.

Language:Python8 6 4

neural-market-predictor

Project for a Machine Learning Class at Oxford. Uses CUSUM and SOM (Self Organizing Map) to predict "good stocks" based on previous NASDAQ history.

Language:MATLAB7 20

antithetic-vae-public

PyTorch implementation for " Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference" (https://arxiv.org/abs/1810.02555).

Language:PythonMIT6 30

s-vae-pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

Language:PythonMIT3 10

ali-mnist

Simple PyTorch implementation of Adversarially Learned Inference

Language:Python1 30

blindspot-motion-detector

My first project from 2010/2011. Uses optical flow and computer vision to detect and classify vehicles in the blind spot to aid less-than-cautious drivers.

Language:Matlab1 20

pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

Language:Python1 20