Pinned Repositories
Basics-of-APIs
Brain--Tumor--Classification
Brain Tumor Classification using Pytroch and Tensorflow Transfer Learning Approach.
Feature-Engineering--Python
Feature-Selection--Python
"A set of Jupyter Notebooks on feature selection methods in Python for machine learning. It covers techniques like constant feature removal, correlation analysis, information gain, chi-square testing, univariate selection, and feature importance, with datasets included for practical application.
HazeSpace2M
HazeSpace2M is a large scale paired hazy dataset for training and evaluating haze type classification models and single image dehazing models.
Matplotlib--Python
This repository is a learning resource for data visualization in Python using Matplotlib. It contains a series of Jupyter Notebooks, each dedicated to a different type of plot or visualization technique, including line plots, bar charts, histograms, pie charts, scatter plots, stack plots, and many more.
ML-Algorithms--Scikit-learn--Python
This folder contains the basic algorithms of ML implemented with Python.
OpenCV
A curated collection of Python scripts exploring the basics of OpenCV for image processing, including operations like blurring, edge detection, and color space transformations.
Python--Basics
Contains some fundamental codes of Python.
PyTorch--Python
A repository of Jupyter notebooks showcasing a range of PyTorch applications, from foundational concepts and linear regression to neural network models for image classification tasks.
tanvirnwu's Repositories
tanvirnwu/Feature-Selection--Python
"A set of Jupyter Notebooks on feature selection methods in Python for machine learning. It covers techniques like constant feature removal, correlation analysis, information gain, chi-square testing, univariate selection, and feature importance, with datasets included for practical application.
tanvirnwu/HazeSpace2M
HazeSpace2M is a large scale paired hazy dataset for training and evaluating haze type classification models and single image dehazing models.
tanvirnwu/OpenCV
A curated collection of Python scripts exploring the basics of OpenCV for image processing, including operations like blurring, edge detection, and color space transformations.
tanvirnwu/Python--Basics
Contains some fundamental codes of Python.
tanvirnwu/PyTorch--Python
A repository of Jupyter notebooks showcasing a range of PyTorch applications, from foundational concepts and linear regression to neural network models for image classification tasks.
tanvirnwu/Basics-of-APIs
tanvirnwu/Brain--Tumor--Classification
Brain Tumor Classification using Pytroch and Tensorflow Transfer Learning Approach.
tanvirnwu/Feature-Engineering--Python
tanvirnwu/Matplotlib--Python
This repository is a learning resource for data visualization in Python using Matplotlib. It contains a series of Jupyter Notebooks, each dedicated to a different type of plot or visualization technique, including line plots, bar charts, histograms, pie charts, scatter plots, stack plots, and many more.
tanvirnwu/ML-Algorithms--Scikit-learn--Python
This folder contains the basic algorithms of ML implemented with Python.
tanvirnwu/Neural-Networks--Keras
tanvirnwu/Numpy--Python
tanvirnwu/Pandas--Python
A collection of Jupyter Notebooks for learning and practicing data manipulation and analysis in Python using the Pandas library. The repository includes a series of notebooks designed to guide users from basic to more advanced features of Pandas. It also includes a CSV dataset related to Ethereum cryptocurrency for practical exercises.
tanvirnwu/Seaborn--Python
This repository is a comprehensive tutorial for creating statistical visualizations in Python using the Seaborn library. It includes a series of Jupyter Notebooks tailored to different types of plots, such as categorical, distribution, matrix-based, and regression visualizations.
tanvirnwu/skills-code-with-codespacess
My clone repository
tanvirnwu/CodeSpacesPortfolio
tanvirnwu/Machine-Learning-Books
Collection of all Machine Learning Related Books
tanvirnwu/Removing-Symbols-Variables-and-Comment-from-Codes-using-CPP
tanvirnwu/Scikit-learn--Python
tanvirnwu/Selective-Search-for-Object-Detection
This repository provides a Python implementation of Selective Search for object detection. It includes code for segmenting an image using the Felzenszwalb method, extracting candidate regions for object detection, and visualizing these regions.
tanvirnwu/tanvirnwu
tanvirnwu/Cheatsheet
tanvirnwu/OpenGL--Computer-Graphics-Basics
tanvirnwu/Interview-Questions
tanvirnwu/Keras
tanvirnwu/NLP--Basics
tanvirnwu/Stable-Diffusion-Hyper-SDXL---Colab
Colab notebook for Stable Diffusion Hyper-SDXL.
tanvirnwu/tanvirnwu.github.io
tanvirnwu/TriFuse
LoLI-Street is a low-light image enhancement dataset for training and testing low-light image enhancement models under urban street scenes.
tanvirnwu/YOLOV5CustomDataset
This repository demonstrates how to use YOLOv5 for object detection on a custom dataset. It includes scripts and instructions for preparing the dataset, training the model, and evaluating its performance.