Delwar9's starred repositories
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
cs-video-courses
List of Computer Science courses with video lectures.
devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
AnotherRedisDesktopManager
🚀🚀🚀A faster, better and more stable Redis desktop manager [GUI client], compatible with Linux, Windows, Mac.
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
go-clean-arch
Go (Golang) Clean Architecture based on Reading Uncle Bob's Clean Architecture
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
Awesome-Geospatial
Long list of geospatial tools and resources
ML-Notebooks
:fire: Machine Learning Notebooks
Applied-Deep-Learning
Applied Deep Learning Course
cassandra-gocql-driver
GoCQL Driver for Apache Cassandra®
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
info8010-deep-learning
Lectures for INFO8010 Deep Learning, ULiège
GAN-Tutorial
Simple Implementation of many GAN models with PyTorch.
Generative_Models_Tutorial_with_Demo
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
deep-learning-for-nlp-lectures
Deep Learning for Natural Language Processing - Lectures 2023
Graph-Learning-Reading-List
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
package-tracking-app
🚗 Real time package tracking implementation with RabbitMQ
CNN-From-Scratch
In this repository you will find everything you need to know about Convolutional Neural Network, and how to implement the most famous CNN architectures in both Keras and PyTorch. (I'm working on implementing those Architectures using MxNet and Caffe)