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.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

The fastai deep learning library

A game theoretic approach to explain the output of any machine learning model.

Learn OpenCV : C++ and Python Examples

Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

This repository contains demos I made with the Transformers library by HuggingFace.

Best Practices, code samples, and documentation for Computer Vision.

PyTorch code and models for the DINOv2 self-supervised learning method.

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.

Reference models and tools for Cloud TPUs.

The 3rd edition of course.fast.ai

A collection of infrastructure and tools for research in neural network interpretability.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Tutorials for creating and using ONNX models

Bayesian optimization in PyTorch

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

Algorithms for outlier, adversarial and drift detection

Notebooks about Bayesian methods for machine learning

Python library for interactive topic model visualization. Port of the R LDAvis package.

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

Open-source implementation of Google Vizier for hyper parameters tuning

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

Example deep learning projects that use wandb's features.

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.