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🦜🔗 Build context-aware reasoning applications
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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
The fastai book, published as Jupyter Notebooks
Companion webpage to the book "Mathematics For Machine Learning"
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
YSDA course in Natural Language Processing
An open-source, low-code machine learning library in Python
Understanding Deep Learning - Simon J.D. Prince
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Python-based tools for document analysis and OCR
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…
Efficient few-shot learning with Sentence Transformers
Algorithms for outlier, adversarial and drift detection
Text and code for the second edition of Think Bayes, by Allen Downey.
Public repo for DeepLearning.AI MLEP Specialization
Python library for interactive topic model visualization. Port of the R LDAvis package.
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance m…
A series of top performing Text to SQL LLMs