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0-phd icon 0-phd

Research notes, codes, deep learning

10-steps-to-become-a-data-scientist icon 10-steps-to-become-a-data-scientist

📢 Ready to learn!✅ you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.🔖

1m-agents-rl icon 1m-agents-rl

A preliminary platform for up to 1 million reinforcement learning agents

20-ml-algorithms-from-start-to-finish icon 20-ml-algorithms-from-start-to-finish

I want to solve a popular machine learning Data-set as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template to deal with machine learning problems.

2018aicity_teamuw icon 2018aicity_teamuw

Source code from the winning team in Track 1 and Track 3 at the AI City Challenge Workshop in CVPR 2018.

3d-deepbox icon 3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

3d-organ icon 3d-organ

3D Object Reconstruction Generative Adversarial Network

3dcnn_mqa icon 3dcnn_mqa

Deep convolutional networks for fold recognition

3dod_thesis icon 3dod_thesis

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

8x-super-resolution icon 8x-super-resolution

This repository is a repository for the paper, "Irgun: Improved residue based gradual up-scaling network for single image super resolution"

a-nice-mc icon a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

a-predictive-analytics-model-to-classify-bankruptcy-for-a-firm icon a-predictive-analytics-model-to-classify-bankruptcy-for-a-firm

The objective of the project was to develop a predictive model that combines various econometric measures to foresee a financial condition (Bankruptcy or not) of a firm based on a financial balance sheet data set available on Kaggle. This was done as part of the Data Mining course at the Krannert Business Analytics Program, Purdue University - Team: Zaid Ahmed, Mohinder Goyal and Maharshi Dutta

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