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

The implementation of 'Image synthesis via semantic composition'.

Image synthesis via semantic synthesis [Project Page] by Yi Wang, Lu Qi, Ying-Cong Chen, Xiangyu Zhang, Jiaya Jia. Introduction This repository gives

71 Jan 06, 2023

Implementation of GGB color space

GGB Color Space This package is implementation of GGB color space from Development of a Robust Algorithm for Detection of Nuclei and Classification of

2 Oct 06, 2021

Relative Uncertainty Learning for Facial Expression Recognition

Relative Uncertainty Learning for Facial Expression Recognition The official implementation of the following paper at NeurIPS2021: Title: Relative Unc

35 Dec 28, 2022

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

English | 简体中文 | 繁體中文 | 한국어 State-of-the-art Natural Language Processing for Jax, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrai

77.4k Jan 05, 2023

Point detection through multi-instance deep heatmap regression for sutures in endoscopy

Suture detection PyTorch This repo contains the reference implementation of suture detection model in PyTorch for the paper Point detection through mu

3 Jul 16, 2022

Fast and simple implementation of RL algorithms, designed to run fully on GPU.

RSL RL Fast and simple implementation of RL algorithms, designed to run fully on GPU. This code is an evolution of rl-pytorch provided with NVIDIA's I

68 Dec 29, 2022

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

Algorithmic Trading in Python This repository Course Outline Section 1: Algorithmic Trading Fundamentals What is Algorithmic Trading? The Differences

1.8k Jan 02, 2023

Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch

Segformer - Pytorch Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch. Install $ pip install segformer-pytorch

208 Dec 25, 2022

Fuzzing the Kernel Using Unicornafl and AFL++

Unicorefuzz Fuzzing the Kernel using UnicornAFL and AFL++. For details, skim through the WOOT paper or watch this talk at CCCamp19. Is it any good? ye

283 Dec 26, 2022

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021) An efficient PyTorch library for Point Cloud Completion.

119 Jan 02, 2023

Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition (NeurIPS 2019)

MLCR This is the source code for paper Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition. Xuesong Niu, Hu Han, Shiguang

60 Nov 29, 2022

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

ESRGAN (Enhanced SRGAN) [ 🚀 BasicSR] [Real-ESRGAN] ✨ New Updates. We have extended ESRGAN to Real-ESRGAN, which is a more practical algorithm for rea

4.7k Jan 02, 2023

This is an (re-)implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation on the PASCAL VOC dataset.

DeepLab-ResNet-TensorFlow This is an (re-)implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation on the PASCAL VOC dataset. Up

19 Jan 16, 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

The implementation of 'Image synthesis via semantic composition'.

Implementation of GGB color space

Relative Uncertainty Learning for Facial Expression Recognition

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

Point detection through multi-instance deep heatmap regression for sutures in endoscopy

Fast and simple implementation of RL algorithms, designed to run fully on GPU.

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch

Fuzzing the Kernel Using Unicornafl and AFL++

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition (NeurIPS 2019)

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

This is an (re-)implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation on the PASCAL VOC dataset.

👨‍💻 run nanosaur in simulation with Gazebo/Ingnition

Pseudo-rng-app - whos needs science to make a random number when you have pseudoscience?

Python wrapper to access the amazon selling partner API

Patch-Based Deep Autoencoder for Point Cloud Geometry Compression

WSDM2022 "A Simple but Effective Bidirectional Extraction Framework for Relational Triple Extraction"

Existing Literature about Machine Unlearning

Official repo for QHack—the quantum machine learning hackathon