Python Assignments for the Deep Learning lectures by Andrew NG on coursera with complete submission for grading capability.

Last update: Feb 03, 2022

Overview

DL_Coursera_Assignments

Python Assignments for the Deep Learning lectures by Andrew NG on coursera with complete submission for grading capability.

Online Workspace

You can work on the assignments in an online workspace called Deepnote . This allows you to play around with the code and access the assignments from your browser.

Tips

In numpy, the function dot is used to perform matrix multiplication. The operation '*' only does element-by-element multiplication (unlike MATLAB). If you are using python version 3.5+, the operator '@' is the new matrix multiplication, and it is equivalent to the dot function.

Acknowledgements

I would like to thank professor AndrewNG and coursera for such an awesome course.

Owner

Utkarsh Agiwal

Undergraduate Student at IIT Bombay, majoring in Mechanical Engineering along with minors in Computer Science and Engineering.

GitHub Repository

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Anchor-free Oriented Proposal Generator for Object Detection

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Code for "Intra-hour Photovoltaic Generation Forecasting based on Multi-source Data and Deep Learning Methods."

pv_predict_unet-lstm Code for "Intra-hour Photovoltaic Generation Forecasting based on Multi-source Data and Deep Learning Methods." IEEE Transactions

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AI Virtual Calculator: This is a simple virtual calculator based on Artificial intelligence.

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A Machine Teaching Framework for Scalable Recognition

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Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2

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Modular Gaussian Processes

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Neural network for recognizing the gender of people in photos

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Pretrained Cost Model for Distributed Constraint Optimization Problems

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UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model

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Official PyTorch implementation of "Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks" (AAAI 2022)

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Python Assignments for the Deep Learning lectures by Andrew NG on coursera with complete submission for grading capability.

Related tags

Overview

DL_Coursera_Assignments

Online Workspace

Tips

Acknowledgements

Owner

Utkarsh Agiwal

Bayesian Inference Tools in Python

Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process

Using contrastive learning and OpenAI's CLIP to find good embeddings for images with lossy transformations

Anchor-free Oriented Proposal Generator for Object Detection

This is a yolo3 implemented via tensorflow 2.7

Code for "Intra-hour Photovoltaic Generation Forecasting based on Multi-source Data and Deep Learning Methods."

AI Virtual Calculator: This is a simple virtual calculator based on Artificial intelligence.

A Machine Teaching Framework for Scalable Recognition

Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2

Modular Gaussian Processes

Neural network for recognizing the gender of people in photos

Pretrained Cost Model for Distributed Constraint Optimization Problems

UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model

Tool which allow you to detect and translate text.

Official PyTorch implementation of "Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks" (AAAI 2022)

ManipulaTHOR, a framework that facilitates visual manipulation of objects using a robotic arm

Implementation of ConvMixer-Patches Are All You Need? in TensorFlow and Keras

Use AI to generate a optimized stock portfolio

OCR Streamlit App is used to extract text from images using python's easyocr, pytorch and streamlit packages

Data and analysis code for an MS on SK VOC genomes phenotyping/neutralisation assays