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Stars
This repo is a one stop destination to find resources for learning various domains. You can find the roadmap for any domain here.
CS 771A: Introduction to Machine Learning, IIT Kanpur, 2022-23-autumn offering
Code examples for the book titled Introduction to GIS Programming
Deep Learning for Computer Vision
Course Materials for Analytics in Stock Markets Zoomcamp
Machine Learning Engineering Open Book
Comprehensive guide to learn RAG from basics to advanced.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Jupyter notebooks for the Natural Language Processing with Transformers book
Stable Diffusion implemented from scratch in PyTorch
A visual playground for agentic workflows: Iterate over your agents 10x faster
Python toolkit for quantitative finance
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
Code for the manim-generated scenes used in 3blue1brown videos
Preparation for Machine Learning Interview
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
NLP Projects playlist
🌎 machine learning tutorials (mainly in Python3)
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
Python training for business analysts and traders
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Data science interview questions and answers
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep