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Name: Rafsan Habib
Type: User
Location: Mirpur
Name: Rafsan Habib
Type: User
Location: Mirpur
Notes I've taken for MIT's 6.041 (Probabilistic Systems Analysis & Applied Probability), plus course bible material.
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Approaching (Almost) Any Machine Learning Problem
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
A collection of model built on various architectures as to determine which one is the most optimum in speech to text generation.
吴恩达老师的机器学习课程个人笔记
Class notes for CS 131.
All notes and materials for the CS229: Machine Learning course by Stanford University
TOP CSS Exercises
Collection of useful data science topics along with code and articles
A List of Data Science/Machine Learning Resources (Mostly Free)
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Full Stack Open tasks & exercises
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
Creating, testing and experimenting APIs
:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more.
Database project of 3.1 semester.
SD project of 1.2
⚡ Building applications with LLMs through composability ⚡
A resource for learning about Machine learning & Deep Learning
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
🧮 A collection of resources to learn mathematics for machine learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.