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The reinforcement learning training code for AgiBot X1.
PyTorch code and models for the DINOv2 self-supervised learning method.
This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Painter & SegGPT Series: Vision Foundation Models from BAAI
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
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.
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
This repo is an implementation of PyTorch version YOLOV Series
The official homepage of the COCO-Stuff dataset.
Download City Scapes Dataset using this script
YMIR, a streamlined model development product.
Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。
[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
[AAAI 2023] PolarFormer: Multi-camera 3D Object Detection with Polar Transformers
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.