Md Mesbahur Rahman's repositories
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
mmrahman-utexas.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
mlops-zoomcamp
Free MLOps course from DataTalks.Club
awesome-mlops
A curated list of references for MLOps
awesome-action-recognition
A curated list of action recognition and related area resources
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
ostep-projects
Projects for an undergraduate OS course
Sony-PMCA-RE
Reverse Engineering Sony Digital Cameras
Neural-Network-From-Scratch-Predicting-Bike-Sharing-Pattern
Buinding a Neural Metwork from scratch and doing hyper-paramter tuning on it to predict how many bi-cycles a bike-sharing company would need on a given hour of a day given some features of historical fashion (e.g. time, temperature, humidity, holidays and weekdays information etc.).
transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need
onnxruntime-inference-examples
Examples for using ONNX Runtime for machine learning inferencing.
awesome-data-labeling
A curated list of awesome data labeling tools
ml-system-design-pattern
System design patterns for machine learning
tensorflow-yolov4
YOLOv4 Implemented in Tensorflow 2.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
unet
unet for image segmentation
reinforcement-learning-an-introduction-1
Python Implementation of Reinforcement Learning: An Introduction
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
PyTorch_ONNX_TensorRT
A tutorial about how to build a TensorRT Engine from a PyTorch Model with the help of ONNX
Mastering-Reinforcement-Learning-with-Python
Mastering Reinforcement Learning with Python, published by Packt
rlai-exercises
Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
reinforcement-learning-an-introduction
A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.
Dog_Breed_Classifier_PyTorch
Project done as part of requirements of the graduation of Udacity Nanodegree Program
Anomally_Detection_Partially_Finetuning_VGG19_PyTorch
Perform anomally detection on a dataset containing wall crack by partially finetuning a pre-trained VGG19 model in PyTorch
Image_Caption_Generator
Project Done as a part of requirements of Graduation of Udacity computer Vision Nanodegree
Unsupervised_Image_Segmentation_Using_K-means_Clustering
Did this project during completeion of Udacity Computer Vision Nanodegree. Implemented K-means clustering based on RGB values of input color image using OpenCV's Kmeans function and visualized the different deifferent segments of the input image by using klustered pixels as a mask.