This is your work, valued

Mike Wu

Elite
@mhw32

Building!

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

167

derm-ai. Machine Learning for Skin Disease Classification

94

variational-item-response-theory-public. A PyTorch implementation of "Variational Item Response Theory: Fast Accurate, and Expressive"

82

data-centric-deep-learning. Public repository for the "Data-Centric Deep Learning" course taught by Mike Wu and Andrew Maas. Available at https://corise.com/course/data-centric-deep-learning.

31

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

20

temperature-as-uncertainty-public. PyTorch implementation for "Temperature as Uncertainty in Contrastive Learning" (https://arxiv.org/abs/2110.04403).

17

prototransformer-public. PyTorch implementation for "ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback" (https://arxiv.org/abs/2107.14035).

16

meta-inference-public. A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)

14

contrastive-ring-public. PyTorch implementation for " Conditional Negative Sampling for Contrastive Learning of Visual Representations" (https://arxiv.org/abs/2010.02037).

8

adaware-nlp. A toolkit of random natural language predictive models.

7

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.

7

pinterest2amazon. Link Pinterest Images to Amazon Purchase URLs

6

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

6

ocular-server. Hack for (albeit simple) augmented reality for E-commerce

4

thesis. Extensions and Applications of Deep Probabilistic Inference for Generative Models

2

neural-navier-stokes. Python

2

py-hashmap. Implementation of HashMap in Python from Scratch

2

sail-blog-new-post. The repository for making new post submissions to the SAIL Blog

1

whereabout-app. Foursquare concept for Donohoes to gamify sharing locations

1

pokemon-battlesim. A barebones battle simulator for pokemon yellow written in pure React

1

contrastive-learning-scaffold-lightning. Python

1

clip-hash. Multimodal embeddings for image and hashes.

1

contrastive-learning-scaffold. Python

1

reference-transfer-task. TeX

1

cs398-hw4-boilerplate. Python

1

curis-2019-projects. Jupyter Notebook

1

farm-splash. HTML

1

fourier-coordconv. Hackathon project: CoordConv with Fourier/Wavenet Positional Encoding.

1

face-to-emotion. Deep Learning Model to Predict Emotion Probabilities from Face-Cropped Images

1

visual-modules-for-sketch-communication-public. Public code for "Visual Encoder Modules used in Sketch Communication Games"

1

rambrandt-ai. Fun distraction project to see if I can automate modern art generation.

1

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.

1