Arkar Min Aung's starred repositories
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
first-contributions
🚀✨ Help beginners to contribute to open source projects
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
social-analyzer
API, CLI, and Web App for analyzing and finding a person's profile in 1000 social media \ websites
how-to-secure-anything
How to systematically secure anything: a repository about security engineering
material-shell
A modern desktop interface for Linux. Improve your user experience and get rid of the anarchy of traditional desktop workflows. Designed to simplify navigation and reduce the need to manipulate windows in order to improve productivity. It's meant to be 100% predictable and bring the benefits of tools coveted by professionals to everyone.
SDE-Interview-Questions
Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.
make-sense
Free to use online tool for labelling photos. https://makesense.ai
byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
mean-teacher
A state-of-the-art semi-supervised method for image recognition
lambda-networks
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
few-shot-object-detection
Implementations of few-shot object detection benchmarks
kafka-streams-machine-learning-examples
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
overhaul-distillation
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
KD_methods_with_TF
Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)
Adversarial-Continual-Learning
Implementation for the paper "Adversarial Continual Learning" in PyTorch.
VAE-Text-Generation
Text generation using Variational Auto Encoders based on IMDB review dataset
distilled-retriever-pytorch
Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"