mahmudhasankhan

mahmudhasankhan's Stars

• maria-antoniak/poetry-eval

  Code and data for the "Sonnet or Not, Bot?" paper published at EMNLP Findings 2024

  Language:Jupyter Notebook6

• shaily99/advice

  A repository of links with advice related to grad school applications, research, phd etc

  2.1k201

• andresvourakis/data-scientist-handbook

  This is a repo with links to everything you'd ever want to learn about data science

  72869

• DataExpert-io/data-engineer-handbook

  This is a repo with links to everything you'd ever want to learn about data engineering

  Language:Makefile20.5k3k

• jonbarron/website

  Language:HTML2.6k2.2k

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook11.1k3.3k

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook95.2k15.4k

• langchain-ai/chat-langchain

  Language:TypeScript5.5k1.3k

• craftzdog/craftzdog-homepage

  My homepage

  Language:JavaScript2.3k701

• shadcn-ui/taxonomy

  An open source application built using the new router, server components and everything new in Next.js 13.

  Language:TypeScript18.6k2.6k

• AI-14/chronicles

  It is a full-stack blog web application built with React on the frontend and Django/DRF on the backend integrated with AWS-S3 & AWS-RDS services.

  Language:TypeScript348

• AMAI-GmbH/AI-Expert-Roadmap

  Roadmap to becoming an Artificial Intelligence Expert in 2022

  Language:JavaScript29.2k2.5k

• oobabooga/text-generation-webui

  A Gradio web UI for Large Language Models.

  Language:Python40.8k5.3k

• ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide

  Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

  7.5k1k

• dair-ai/ML-YouTube-Courses

  📺 Discover the latest machine learning / AI courses on YouTube.

  16k1.9k

• khanhnamle1994/cracking-the-data-science-interview

  A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

  Language:Jupyter Notebook3.7k1k

• GokuMohandas/mlops-course

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook3k516

• dair-ai/MLOPs-Primer

  A collection of resources to learn about MLOPs.

  92952

• SkalskiP/courses

  This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

  Language:Python5.4k489

• EbookFoundation/free-programming-books

  :books: Freely available programming books

  Language:HTML339k61.7k

• alirezadir/Machine-Learning-Interviews

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook4.9k854

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML11.3k11.3k

• rammcodes/Dopefolio

  Dopefolio 🔥 - Portfolio Template for Developers 🚀

  Language:HTML3.4k692

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.3k2.3k

• Nyandwi/machine_learning_complete

  A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

  Language:Jupyter Notebook4.6k765

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9.5k1.5k

• alexdrk14/RussoUkrainianWar_Dataset

  Language:HTML128

• abhisheknaiidu/awesome-github-profile-readme

  😎 A curated list of awesome GitHub Profile which updates in real time

  24.8k3.8k

• csebuetnlp/normalizer

  This python module is an easy-to-use port of the text normalization used in the paper "Not low-resource anymore: Aligner ensembling, batch filtering, and new datasets for Bengali-English machine translation". It is intended to be used for normalizing / cleaning Bengali and English text.

  Language:Python357

• hasibzunair/research-notes

  Stuff I find useful, mostly on AI research and computer vision.

  94