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Official Repo for InSTA: Towards Internet-Scale Training For Agents
Ongoing research training transformer models at scale
A PyTorch native platform for training generative AI models
Ring attention implementation with flash attention
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
An implementation of the Prompt-to-Prompt paper for the SDXL architecture
Locally saves webpages to your hard disk with images, css, js & links as is.
Download the entire Wayback Machine archive for a given URL.
Download an entire website from the Wayback Machine.
Code for the paper 🌳 Tree Search for Language Model Agents
🌱 Leafy Spurge Dataset: Real-world Weed Classification Within Aerial Drone Imagery
[arXiv 2023] Set-of-Mark Prompting for GPT-4V and LMMs
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Segment Anything in High Quality [NeurIPS 2023]
Python Socket.IO server and client
a state-of-the-art-level open visual language model | 多模态预训练模型
AI agent using GPT-4V(ision) capable of using a mouse/keyboard to interact with web UI
Differentiable fast wavelet transforms in PyTorch with GPU support.
Audio generation using diffusion models, in PyTorch.
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
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.
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
Official implementation of "Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics" (NeurIPS 2023)
Erasing Concepts from Diffusion Models
Effective Data Augmentation With Diffusion Models
[CVPR 2023] SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction