Lists (13)
Stars
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
Learn how to develop, deploy and iterate on production-grade ML applications.
12 Weeks, 24 Lessons, AI for All!
🔊 Text-Prompted Generative Audio Model
Google Research
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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 ;)
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A game theoretic approach to explain the output of any machine learning model.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Neural Networks: Zero to Hero
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
StableLM: Stability AI Language Models
FinRL®: Financial Reinforcement Learning. 🔥
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
An open-source, low-code machine learning library in Python
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
A series of large language models trained from scratch by developers @01-ai
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…
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Recipes for using Python's pandas library
Useful functions, tutorials, and other Python-related things
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker