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A complete computer science study plan to become a software engineer.
All Algorithms implemented in Python
🤗 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.
21 Lessons, Get Started Building with Generative AI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
A curated list of awesome Machine Learning frameworks, libraries and software.
List of Computer Science courses with video lectures.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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…
This is a repo with links to everything you'd ever want to learn about data engineering
Federated query engine for AI - The only MCP Server you'll ever need
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
Course Files for Complete Python 3 Bootcamp Course on Udemy
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
500 AI Machine learning Deep learning Computer vision NLP Projects with code
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
100+ Python challenging programming exercises
🍰 Desktop utility to download images/videos/music/text from various websites, and more.
A game theoretic approach to explain the output of any machine learning model.
Learn OpenCV : C++ and Python Examples
Interactive Data Visualization in the browser, from Python
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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 …
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Free MLOps course from DataTalks.Club
The "Python Machine Learning (1st edition)" book code repository and info resource