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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
12 Weeks, 24 Lessons, IoT for All!
Your new Mentor for Data Science E-Learning.
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
TranslatedMy continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides), with video links
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A course in reinforcement learning in the wild
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
This repositories contains a list of python scripts projects from beginner level advancing slowly. More code snippets to be added soon. feel free to clone this repo
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
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
Compilado de recursos sobre Computação Quântica em português