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3d_scene_understanding
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awesome
list of awesome repos60 repositories
computer-vision
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courses_notes
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devops
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LLMs
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prompt-engineering
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python related
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Real-time object detection stuff
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research-tools
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Rust lang related dingies.1 repository
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Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
12 Weeks, 24 Lessons, AI for All!
10 Weeks, 20 Lessons, Data Science for All!
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 ;)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
This is a repo with links to everything you'd ever want to learn about data engineering
Python programs, usually short, of considerable difficulty, to perfect particular skills.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…
💿 Free software that works great, and also happens to be open-source Python.
A collection of various deep learning architectures, models, and tips
Your new Mentor for Data Science E-Learning.
Companion webpage to the book "Mathematics For Machine Learning"
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Notebooks and code for the book "Introduction to Machine Learning with Python"
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Python code for "Probabilistic Machine learning" book by Kevin Murphy
The fastest way to create an HTML app
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Book about interpretable machine learning
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Collection of useful data science topics along with articles, videos, and code
