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Summary

I am currently pursuing a Master of Science degree in Statistics at the University of Illinois Urbana-Champaign, and will graduate in May 2024. My coursework encompasses a range of subjects within statistics and computer science, including deep learning, computer vision, and Bayesian machine learning. I also hold a Master of Science degree in Economics from the University of Wisconsin-Madison, with a specialization in applied econometrics and causal inference.

Prior to my current studies, I worked for five years as a data scientist in the healthcare industry, focusing on developing transformer models, latent variable models, causal inference models, and time series forecasting models.

Highlights

📖 Pursuing Master's in Statistics @ The University of Illinois Urbana-Champaign.

📖 Completed Master's in Economics @ The University of Wisconsin-Madison.

💻 Currently building open-source projects in graph neural network community detection, computer vision image classification, and automatic speech recognition.

🖥️ Selected Open-Source Projects

Machine Learning
Title Stars Technologies
OracleCoder Stars PyTorch
OpenCodeInterpreter-DS-6.7B-Finetune Stars PyTorch
Starcoder2-3B-Finetune Stars PyTorch
Amortized Bayes Stars PyTorch
RotNet Stars PyTorch
Gaussian Image Stars PyTorch
Swin Transformer Stars PyTorch

Jordan Deklerk's Projects

amortized-bayes icon amortized-bayes

Closing the amortization gap in Bayesian deep generative models (A-VI vs F-VI) in PyTorch

conformer icon conformer

Implementing automatic speech recognition Conformer in PyTorch on Librispeech-100

detnet-yolo icon detnet-yolo

A PyTorch implementation of a DetNet like architecture for object detection on the PASCAL VOC 2007 dataset

fast-resnet icon fast-resnet

Implementing a fast ResNet model in PyTorch from scratch on CIFAR-10

gaussian-image icon gaussian-image

Implementing a neural network from scratch and in PyTorch to memorize an image

oraclecoder icon oraclecoder

A QLoRA+ LLM Ensemble with Schema-Linking for Text-to-SQL Generation

resnet icon resnet

Implementing a ResNet model in PyTorch from scratch on CIFAR-10

resnet-finetune icon resnet-finetune

Fine-Tuning a pre-trained ResNet 50 model on the Stanford Cars dataset

rotnet icon rotnet

Fine-tuning ResNet-18 for self-supervised learning by rotation prediction on CIFAR-10 in PyTorch

senet icon senet

Implementing a Squeeze and Excitation ResNet model in PyTorch from scratch on CIFAR-10

simple-gnn icon simple-gnn

A simple graph neural network for CORA node classification

swinvit icon swinvit

Implementing a Swin Transformer model in PyTorch on CIFAR-10

vit icon vit

Implementing a vision transformer model in PyTorch on CIFAR-10

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