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stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

striatum

Contextual bandit in python

subjqa

A question-answering dataset with a focus on subjective information

tds_black_box_models_more_explainable

Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in Towards Data Science: https://towardsdatascience.com/black-box-models-are-actually-more-explainable-than-a-logistic-regression-f263c22795d

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

trainyourownyolo

Train a state-of-the-art yolov3 object detector from scratch!

transformer-workbench

Playground for Transformers

tuning-the-finetuning

Tuning the Finetuning: An exploration of achieving success with QLoRA

tutorials

Tutorials for creating and using ONNX models

tutorials-1

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

tutorials-langchain

ucb1

The code for the post "Optimism in the Face of Uncertainty: the UCB1 Algorithm"

vehicle-tracking-2

A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).

vision_transformers_explained

This folder of code contains code and notebooks to supplement the "Vision Transformers Explained" series written by Skylar Callis.

visualize_bandit_algorithms

Some visualizations of bandit algorithm outputs.

yelp_dataset

Exploratory data analysis and visualization on Yelp Dataset

yolo_explained

If you want to understand how YOLO works, check out this step-by-step walkthrough of YOLO2 in TF2!

yolo_v3_tutorial_from_scratch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

yolov3

Yolo V3 code to predict the bounding box and class

youtubevideocode

Code related to my YouTube vids!