AL SANI's starred repositories
aiQuest-Django-BootCamp-2024
The training will consist of five classes, each lasting 2.5 hours, spread over five consecutive days.
banglabert
This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: NAACL-2022.
200-NumPy-Basic-Practices-Code
The provided numpy code examples cover a wide range of functionalities including statistical calculations (e.g., mean, variance), machine learning algorithms (e.g., clustering, regression), distance metrics (e.g., Jensen-Shannon, Manhattan), and optimization techniques (e.g., stochastic gradient descent).
Data-Science-and-AI-Internship-Program-2024
Join our 2024 Data Science and AI Internship Program at Bytes of Intelligence. Gain practical skills, mentorship, and real-world experience in the dynamic fields of data science and artificial intelligence, preparing you for future success in tech.
Data-Science-and-AI-Internship-Program-2024
Join our 2024 Data Science and AI Internship Program at Bytes of Intelligence. Gain practical skills, mentorship, and real-world experience in the dynamic fields of data science and artificial intelligence, preparing you for future success in tech.
deep_learning_book
เฆนเฆพเฆคเงเฆเฆฒเฆฎเง เฆกเงเฆช เฆฒเฆพเฆฐเงเฆจเฆฟเฆ เฆฌเฆ: http://bit.ly/bn_dl
gesture-detection-using-OpenCv
OpenCV is a library of programming functions mainly for real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage, then Itseez. The library is cross-platform and licensed as free and open-source software under Apache License
OpenCv_Basic
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library that provides a wide range of tools and functions for working with images and videos. It is widely used in various applications, including image processing, computer vision, and machine learning
leaf_diseases_ditection
leaf diseas ditection
MNIST_handwritten_digit
classifcation of mnist hand written digit
Machine-Learning-with-Scikitl-earn
supervised, unsupervised learing algorithm will explain in details.
Python--Basics
Contains some fundamental codes of Python.
Machine-Learning-Books
Collection of all Machine Learning Related Books
Brain-Tumors-MRI-Project
Brain Tumor Classification using Tensorflow framework with Transfer Learning model
Activation-Function
Rifat_Assignment_01: Understanding and implementing the activation function