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🦜🔗 Build context-aware reasoning applications
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.
12 Weeks, 24 Lessons, AI for All!
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
PyTorch code and models for the DINOv2 self-supervised learning method.
Visualizations for machine learning datasets
Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
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.
Create delightful software with Jupyter Notebooks
Superduper: Build end-to-end AI applications and agent workflows on your existing data infrastructure and preferred tools - without migrating your data.
links to conference publications in graph-based deep learning
Microsoft Quantum Development Kit Samples
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Biological foundation modeling from molecular to genome scale
Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models"
A 15TB Collection of Physics Simulation Datasets
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
World Models Experiments
Large-Scale Multimodal Dataset of Astronomical Data
Source code for ClimateLearn
Hands-On Machine Learning for Cybersecurity, published by Packt