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

Official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition" in AAAI2022.

AimCLR This is an official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Reco

44 Dec 17, 2022

Collection of common code that's shared among different research projects in FAIR computer vision team.

fvcore fvcore is a light-weight core library that provides the most common and essential functionality shared in various computer vision frameworks de

1.5k Jan 07, 2023

Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization

Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization Code for reproducing our results in the Head2Toe paper. Paper: arxiv.or

62 Dec 12, 2022

시각 장애인을 위한 스마트 지팡이에 활용될 딥러닝 모델 (DL Model Repo)

SmartCane-DL-Model Smart Cane using semantic segmentation 참고한 Github repositoy 🔗 https://github.com/JunHyeok96/Road-Segmentation.git 데이터셋 🔗 https://

4 Dec 03, 2021

Implementation of the pix2pix model on satellite images

This repo shows how to implement and use the pix2pix GAN model for image to image translation. The model is demonstrated on satellite images, and the

3 May 24, 2022

NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset

NOD (Night Object Detection) Dataset NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset, BM

17 Nov 05, 2022

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

This repository holds NVIDIA-maintained utilities to streamline mixed precision and distributed training in Pytorch. Some of the code here will be included in upstream Pytorch eventually. The intenti

6.9k Jan 03, 2023

codes for Image Inpainting with External-internal Learning and Monochromic Bottleneck

Image Inpainting with External-internal Learning and Monochromic Bottleneck This repository is for the CVPR 2021 paper: 'Image Inpainting with Externa

97 Nov 29, 2022

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Transparency-by-Design networks (TbD-nets) This repository contains code for replicating the experiments and visualizations from the paper Transparenc

351 Nov 18, 2022

RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering Authors: Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou and

72 Dec 05, 2022

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

HiFiGAN Denoiser This is a Unofficial Pytorch implementation of the paper HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep F

134 Dec 27, 2022

Collective Multi-type Entity Alignment Between Knowledge Graphs (WWW'20)

CG-MuAlign A reference implementation for "Collective Multi-type Entity Alignment Between Knowledge Graphs", published in WWW 2020. If you find our pa

28 Dec 11, 2022

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Cross-Speaker-Emotion-Transfer - PyTorch Implementation PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Conditio

114 Jan 08, 2023

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

Official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition" in AAAI2022.

Collection of common code that's shared among different research projects in FAIR computer vision team.

Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization

시각 장애인을 위한 스마트 지팡이에 활용될 딥러닝 모델 (DL Model Repo)

Implementation of the pix2pix model on satellite images

NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

codes for Image Inpainting with External-internal Learning and Monochromic Bottleneck

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

Collective Multi-type Entity Alignment Between Knowledge Graphs (WWW'20)

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Code repository for the paper "Tracking People with 3D Representations"

A Deep Learning Framework for Neural Derivative Hedging

DUE: End-to-End Document Understanding Benchmark

Convert Pytorch model to onnx or tflite, and the converted model can be visualized by Netron

EM-POSE 3D Human Pose Estimation from Sparse Electromagnetic Trackers.

Python PID Tuner - Based on a FOPDT model obtained using a Open Loop Process Reaction Curve

A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution.