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John Kim's Projects

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

ai_jesus icon ai_jesus

This is the code for "AI Jesus Made Me a Believer" on Youtube by Siraj Raval

awesome-azure icon awesome-azure

A Curated List of Azure Resources. The list provides you with enough resources to get a full overview of the services in Azure and get started with cloud computing.

az300 icon az300

Study Notes for the AZ-300 exam

bert icon bert

TensorFlow code and pre-trained models for BERT

courseraml icon courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

covid-19 icon covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

daml icon daml

materials from machine learning lectures in python

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

discogan-pytorch icon discogan-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

ds-python-data-analysis icon ds-python-data-analysis

Data manipulation, analysis and visualisation in Python - specialist course Doctoral schools of Ghent University

etl icon etl

Extract, Transform, Load

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fastai-v3 icon fastai-v3

Starter app for fastai v3 model deployment on Render

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