mazyar-ghezelji's Stars
PacktPublishing/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
ollama/ollama
Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.
freeCodeCamp/freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
milanm/DevOps-Roadmap
DevOps Roadmap for 2024. with learning resources
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
vojtaholik/gatsby-theme-simplecast
mwolfson/GenAIResources
Collection of resources for working with Generative AI technologies.
ByteByteGoHq/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
getumbrel/llama-gpt
A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support!
shervinea/stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
archersama/awesome-recommend-system-pretraining-papers
Paper List for Recommend-system PreTrained Models
hongleizhang/RSPapers
RSTutorials: A Curated List of Must-read Papers on Recommender System.
realpython/python-guide
Python best practices guidebook, written for humans.
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
rutura/The-C-20-Masterclass-Source-Code
Source code for the C++ 20 Masterclass on udemy
rcvd/logseq-bear-theme
Bear Theme for Logseq
puneetsl/lotion
Unofficial Notion.so app for Linux
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
practical-tutorials/project-based-learning
Curated list of project-based tutorials
ProWhalen/AndrewNg-ML
Machine Learning of Andrew Ng
clesleycode/natural-language-processing
Intro to Natural Language Processing Tutorial
goodhamgupta/maths-for-ml
Notes and solutions for the Mathematics for Machine Learning Specialization
ciortanmadalina/high_noise_clustering
Techniques to cluster very noisy data (dropouts or random noise)