Mobasshir Bhuiya's repositories
Deep-Learning-Notes
My handwritten notes from Udacity's Deep Learning Course
rp-portfolio
A portfolio development project
Bangladesh-Administrative-Geo-Coordinates
Bangladesh administration level wise geocoordinates collection with name, lattitude, longitude and website
machine_learning
Machine Learning research repo
titan-programmer.github.io
A blog for all students to add summaries for topic of what they link and share their new blog link for the challenge.
deploying-a-sentiment-analysis-model
This repository contains code and associated files for deploying ML models using AWS SageMaker. This repository consists of a number of tutorial notebooks for various coding exercises, mini-projects, and project files that will be used to supplement the lessons of the Nanodegree.
first-contributions
🚀✨ Help beginners to contribute to open source projects
Udaciity-Deep-Learning-Nano-Degree
A repo of all projects and course works related to the udacity deep learning nano degree program. This is an extensive program where we have to practice every lesson on their workspace or personal computer.
PyTorchProjectFramework
A basic framework for your PyTorch projects
haker-rank
Haker rank problem submissions and best practices are listed in this repository. This is basically a demonstration of problem solving paradigm.
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
bhuiyanmobasshir94.github.io
My portfolio account
artificial_intelligence
A repository of learning all AI materials
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
cameraX_basic_app
Basic app using camera x api
custom_camera_basic
simple android camera app
jupyter
Jupyter metapackage for installation, docs and chat
deepo
Set up your environment for deep learning in a single command line.
production-ready-django-oscar
A base project structure with production ready jobs for most popular django ecommerce framwork django oscar. To start work you can work on top of it. All setup needs for production is done here. Bang with django.
flask-rest-api
DB agnostic framework to build auto-documented REST APIs with Flask and marshmallow
mrcnn_serving_ready
Converting Mask R-CNN Keras model to Tensorflow model and Serving model
flask-api
Python REST APIs With Flask, Connexion, and SQLAlchemy
automl-gs
Provide an input CSV and a target field to predict, generate a model + code to run it.
Mask_RCNN-1
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow