#
Starred repositories
Federated query engine for AI - The only MCP Server you'll ever need
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Interactive Data Visualization in the browser, from Python
List of Computer Science courses with video lectures.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
Mersin Üniversitesi Harita Mühendisliği Bölümü ve Uzaktan Algılama / CBS Yüksek Lisans Programı dahilinde verilen Programlama, Veri Bilimi ve CBS derslerinin Jupyter Notebook dosyalarını ve kullanı…
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Welcome to my GitHub repository. I hope you enjoy solving these puzzles as much as I have enjoyed creating them.
State of the Art Natural Language Processing
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 YOLO11, RT-DETR, SAM …
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
A game theoretic approach to explain the output of any machine learning model.
Scenic: A Jax Library for Computer Vision Research and Beyond
All Algorithms implemented in Python
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Multi-class confusion matrix library in Python
A collection of scripts and notebooks to help you get started quickly.
Learn OpenCV : C++ and Python Examples
Access and analyze historical weather and climate data with Python.
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days, follow your own pace. These videos m…
21 Lessons, Get Started Building with Generative AI
Practical course about Large Language Models.
This is a repo with links to everything you'd ever want to learn about data engineering
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A curated list of awesome Machine Learning frameworks, libraries and software.
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
Scalable machine 🤖 learning for time series forecasting.
Free MLOps course from DataTalks.Club