openai / openai-cookbook
Examples and guides for using the OpenAI API
See what the GitHub community is most excited about today.
Examples and guides for using the OpenAI API
10 Weeks, 20 Lessons, Data Science for All!
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Learn OpenCV : C++ and Python Examples
MONAI Tutorials
Flax is a neural network library for JAX that is designed for flexibility.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Code for the ProteinMPNN paper
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
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-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Sionna: An Open-Source Library for Research on Communication Systems
Dynamics 365 FastTrack Implementation guides
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
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.
18.06 course at MIT
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.
Acceptance rates for the major AI conferences