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

Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

CoProtector Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

1 Oct 26, 2021

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Interaction-Network-Pytorch Pytorch Implementraion of Interaction Networks for Learning about Objects, Relations and Physics. Interaction Network is a

117 Nov 05, 2022

Training and Evaluation Code for Neural Volumes

Neural Volumes This repository contains training and evaluation code for the paper Neural Volumes. The method learns a 3D volumetric representation of

370 Dec 08, 2022

PyTorch implementation of MulMON

MulMON This repository contains a PyTorch implementation of the paper: Learning Object-Centric Representations of Multi-object Scenes from Multiple Vi

16 Nov 03, 2022

Using VapourSynth with super resolution models and speeding them up with TensorRT.

VSGAN-tensorrt-docker Using image super resolution models with vapoursynth and speeding them up with TensorRT. Using NVIDIA/Torch-TensorRT combined wi

111 Jan 05, 2023

A data-driven maritime port simulator

PySeidon - A Data-Driven Maritime Port Simulator 🌊 Extendable and modular software for maritime port simulation. This software uses entity-component

6 Apr 10, 2022

Official codes: Self-Supervised Learning by Estimating Twin Class Distribution

TWIST: Self-Supervised Learning by Estimating Twin Class Distributions Codes and pretrained models for TWIST: @article{wang2021self, title={Self-Sup

85 Dec 15, 2022

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering Jang Hyun Cho1, Utkarsh Mall2, Kavita Bala2, Bharath Harihar

164 Dec 30, 2022

HuSpaCy: industrial-strength Hungarian natural language processing

HuSpaCy: Industrial-strength Hungarian NLP HuSpaCy is a spaCy model and a library providing industrial-strength Hungarian language processing faciliti

120 Dec 14, 2022

HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks

Approximate Multiplier by HEAM What's HEAM? HEAM is a general optimization method to generate high-efficiency approximate multipliers for specific app

4 Sep 11, 2022

Inference pipeline for our participation in the FeTA challenge 2021.

feta-inference Inference pipeline for our participation in the FeTA challenge 2021. Team name: TRABIT Installation Download the two folders in https:/

2 Apr 13, 2022

ISNAS-DIP: Image Specific Neural Architecture Search for Deep Image Prior [CVPR 2022]

ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior (CVPR 2022) Metin Ersin Arican*, Ozgur Kara*, Gustav Bredell, Ender Konukogl

24 Dec 18, 2022

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

Patches Are All You Need? 🤷 This repository contains an implementation of ConvMixer for the ICLR 2022 submission "Patches Are All You Need?" by Asher

934 Jan 08, 2023

The official repository for "Score Transformer: Generating Musical Scores from Note-level Representation" (MMAsia '21)

Score Transformer This is the official repository for "Score Transformer": Score Transformer: Generating Musical Scores from Note-level Representation

22 Dec 22, 2022

The implementation for paper Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets.

Joint t-sne This is the implementation for paper Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets. abstract: We present Jo

7 Dec 18, 2022

U-Time: A Fully Convolutional Network for Time Series Segmentation

U-Time & U-Sleep Official implementation of The U-Time [1] model for general-purpose time-series segmentation. The U-Sleep [2] model for resilient hig

176 Dec 19, 2022

Code for 2021 NeurIPS --- Towards Multi-Grained Explainability for Graph Neural Networks

ReFine: Multi-Grained Explainability for GNNs We are trying hard to update the code, but it may take a while to complete due to our tight schedule rec

47 Dec 16, 2022

A demo of how to use JAX to create a simple gravity simulation

JAX Gravity This repo contains a demo of how to use JAX to create a simple gravity simulation. It uses JAX's experimental ode package to solve the dif

16 Sep 22, 2022

[Nature Machine Intelligence' 21] "Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence"

[UCADI] COVID-19 Diagnosis With Federated Learning Intro We developed a Federated Learning (FL) Framework for global researchers to collaboratively tr

30 Dec 12, 2022

Data from "HateCheck: Functional Tests for Hate Speech Detection Models" (Röttger et al., ACL 2021)

In this repo, you can find the data from our ACL 2021 paper "HateCheck: Functional Tests for Hate Speech Detection Models". "test_suite_cases.csv" con

43 Nov 11, 2022

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

Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Training and Evaluation Code for Neural Volumes

PyTorch implementation of MulMON

Using VapourSynth with super resolution models and speeding them up with TensorRT.

A data-driven maritime port simulator

Official codes: Self-Supervised Learning by Estimating Twin Class Distribution

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

HuSpaCy: industrial-strength Hungarian natural language processing

HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks

Inference pipeline for our participation in the FeTA challenge 2021.

ISNAS-DIP: Image Specific Neural Architecture Search for Deep Image Prior [CVPR 2022]

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

The official repository for "Score Transformer: Generating Musical Scores from Note-level Representation" (MMAsia '21)

The implementation for paper Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets.

U-Time: A Fully Convolutional Network for Time Series Segmentation

Code for 2021 NeurIPS --- Towards Multi-Grained Explainability for Graph Neural Networks

A demo of how to use JAX to create a simple gravity simulation

[Nature Machine Intelligence' 21] "Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence"

Data from "HateCheck: Functional Tests for Hate Speech Detection Models" (Röttger et al., ACL 2021)