Md. Muhaimin Rahman's Projects
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
ReNom - http://renom.jp/index.html
Guide on using using python for administrative scripting
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
Release version of my Reinforcement learning study codebase
ROS Robotic Deep Learning
Notes and projects from the Udacity Robotics Nanodegree.
A ROS package to wrap openvino inference engine and get it working with Myriad and GPU
Udacity Self-Driving Car Engineer Nanodegree projects.
A PyTorch implementation of the paper Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
The English version of 14 lectures on visual SLAM.
Code related to sliding mode controllers: MATLAB implementation and Python-based simulation
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
An Open Source Machine Learning Framework for Everyone
Deep RL blog Repository
A playbook for systematically maximizing the performance of deep learning models.
📷 Computer Vision Nanodegree Repository
This repository contains all the projects done as part of the Full Stack Web Developer Nanodegree.
A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"
YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, we will apply the YOLO algorithm to detect objects in images.