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

Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

Adversrial Machine Learning Benchmarks This code belongs to the papers: Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? Det

9 Nov 27, 2022

Codebase for Diffusion Models Beat GANS on Image Synthesis.

128 Dec 02, 2022

(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds by Mutian Xu*, Runyu Ding*, Hengshuang Zhao, and Xiaojuan Qi. Int

228 Dec 25, 2022

Semantic Image Synthesis with SPADE

Semantic Image Synthesis with SPADE New implementation available at imaginaire repository We have a reimplementation of the SPADE method that is more

7.3k Jan 07, 2023

The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".

Energy-based Conditional Generative Adversarial Network (ECGAN) This is the code for the NeurIPS 2021 paper "A Unified View of cGANs with and without

22 May 28, 2022

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification [pdf] The official repository for Self-Supervised Pre-Training for Transfo

116 Jan 04, 2023

Code Release for the paper "TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation"

TriBERT This repository contains the code for the NeurIPS 2021 paper titled "TriBERT: Full-body Human-centric Audio-visual Representation Learning for

8 Aug 31, 2022

Single Image Super-Resolution (SISR) with SRResNet, EDSR and SRGAN

Single Image Super-Resolution (SISR) with SRResNet, EDSR and SRGAN Introduction Image super-resolution (SR) is the process of recovering high-resoluti

8 Apr 15, 2022

PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"

Smoothed Mutual Information ``Lower Bound'' Estimator PyTorch implementation for the ICLR 2020 paper Understanding the Limitations of Variational Mutu

50 Nov 09, 2022

[ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.

[ICLR 2021] RAPID: A Simple Approach for Exploration in Reinforcement Learning This is the Tensorflow implementation of ICLR 2021 paper Rank the Episo

48 Nov 21, 2022

Using LSTM to detect spoofing attacks in an Air-Ground network

Using LSTM to detect spoofing attacks in an Air-Ground network Specifications IDE: Spider Packages: Tensorflow 2.1.0 Keras NumPy Scikit-learn Matplotl

1 Nov 20, 2021

State of the art Semantic Sentence Embeddings

Contrastive Tension State of the art Semantic Sentence Embeddings Published Paper · Huggingface Models · Report Bug Overview This is the official code

88 Dec 30, 2022

A containerized REST API around OpenAI's CLIP model.

OpenAI's CLIP — REST API This is a container wrapping OpenAI's CLIP model in a RESTful interface. Running the container locally First, build the conta

48 Nov 06, 2022

Recurrent Scale Approximation (RSA) for Object Detection

Recurrent Scale Approximation (RSA) for Object Detection Codebase for Recurrent Scale Approximation for Object Detection in CNN published at ICCV 2017

239 Dec 28, 2022

A wrapper around SageMaker ML Lineage Tracking extending ML Lineage to end-to-end ML lifecycles, including additional capabilities around Feature Store groups, queries, and other relevant artifacts.

ML Lineage Helper This library is a wrapper around the SageMaker SDK to support ease of lineage tracking across the ML lifecycle. Lineage artifacts in

12 Nov 01, 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

Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

Codebase for Diffusion Models Beat GANS on Image Synthesis.

(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

Semantic Image Synthesis with SPADE

The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

Code Release for the paper "TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation"

Single Image Super-Resolution (SISR) with SRResNet, EDSR and SRGAN

PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"

[ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.

Using LSTM to detect spoofing attacks in an Air-Ground network

State of the art Semantic Sentence Embeddings

A containerized REST API around OpenAI's CLIP model.

Recurrent Scale Approximation (RSA) for Object Detection

A wrapper around SageMaker ML Lineage Tracking extending ML Lineage to end-to-end ML lifecycles, including additional capabilities around Feature Store groups, queries, and other relevant artifacts.

交互式标注软件，暂定名 iann

GuideDog is an AI/ML-based mobile app designed to assist the lives of the visually impaired, 100% voice-controlled

The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".

Hyperparameter tuning for humans

Vector Neurons: A General Framework for SO(3)-Equivariant Networks