🤗 AutoTrain Advanced

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

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.

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

Fit interpretable models. Explain blackbox machine learning.

The official Python library for the OpenAI API

Generate Diverse Counterfactual Explanations for any machine learning model.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and l…

The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.

A Python package to assess and improve fairness of machine learning models.

DSPy: The framework for programming with foundation models

a CLI that provides a generic automation layer for assessing the security of ML models

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

Examples and guides for using the OpenAI API

Fiddler Auditor is a tool to evaluate the robustness of language models.

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

Point cloud diffusion for 3D model synthesis

The official code for PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

Differential privacy validator and runtime

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

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Interpretability and explainability of data and machine learning models

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks from research to industrial applications.

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Implementation of the ICCV'21 paper Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases