amrakibulhasan Goto Github PK

coursera_tensorflow_advanced_techniques_specialization

Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.

css-cheatsheet

css-course-content

Project files and content for the CSS 'Zero to Hero' course.

css-exercises

css-guidelines

Sensible CSS Guidelines for large scale projects 🚀

css-protips

⚡️ A collection of tips to help take your CSS skills pro 🦾

css3-tutorials-code

Here I will share all the CSS Codes that I have shown you on my YouTube videos

curriculum

The open curriculum for learning web development

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

data-science-from-scratch

Examples and hacks inspired by the book Data Science from Scratch by Joel Grus

data-science-hacks

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

data_science_in_julia_for_hackers

Data Science in Julia With Hackers

datascience_notebooks

Datacamp's Data Science Track: comprehensions, plots, pandas, hacker statistics

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

dcgan

dcgan-lsgan-wgan-gp-dragan-tensorflow-2

dcgan-pytorch

PyTorch implements a Deep Convolution GAN neural network structure

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan-tf2.0

Tensorflow 2.0 implementation of DCGAN for CelebA dataset

dcgan_code

Deep Convolutional Generative Adversarial Networks

dcgan_on_mnist

Using deep convolutional generative adversial network (dcgan) to generate synthesised images of hand written digits

deep-convolution-generative-adverserial-network--dcgan

PyTorch implementation of the original GAN algorithm from scratch.

deep-convolutional-generative-adverserial-network-for-bangla-handwritten-text-generation-

Captsone Project

deep-generative-models

Notebooks for Generative Models (Tensorflow and Pytorch)

deep-learning

In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

deep-learning-andrewng-deeplearning.ai

Contains all course modules, exercises and notes of Deep Learning Specialization by Andrew Ng, and DeepLearning.ai in Coursera

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-coursera-complete

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

deep-learning-specialization

Coursera : Deep Learning Specialization by Andrew Ng

deep-learning-specialization-coursera

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.