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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Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch.

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Real time Human Detection Counting

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MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving

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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

A Kernel fuzzer focusing on race bugs

Vector Quantized Diffusion Model for Text-to-Image Synthesis

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch.

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Learning Chinese Character style with conditional GAN

Any-to-any voice conversion using synthetic specific-speaker speeches as intermedium features

Real time Human Detection Counting

Various operations like path tracking, counting, etc by using yolov5

Kalidokit is a blendshape and kinematics solver for Mediapipe/Tensorflow.js face, eyes, pose, and hand tracking models

Sibur challange 2021 competition - 6 place

A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning

Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.

MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving

PyTorch implementation of ECCV 2020 paper "Foley Music: Learning to Generate Music from Videos "

Benchmark for Answering Existential First Order Queries with Single Free Variable

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Easy way to add GoogleMaps to Flask applications. maintainer: @getcake

Dataset Condensation with Contrastive Signals

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

The code is the training example of AAAI2022 Security AI Challenger Program Phase 8: Data Centric Robot Learning on ML models.