Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

deep learning for image processing including classification and object-detection etc.

Codebase for Automated Creation of Digital Cousins for Robust Policy Learning

A generative world for general-purpose robotics & embodied AI learning.

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

takes an holodeck json file and generates a blend file.

The ProcTHOR-10K Houses Dataset

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

Python package for importing and loading external assets into AI2THOR

[IEEE TIV] OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy Prediction

CVPR 2024: Language Guided Generation of 3D Embodied AI Environments.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

使用Pytorch实现GAN 的过程

Zero-Shot Semantic Segmentation

YOLO-Stutter: End-to-end Region-Wise Speech Dysfluency Detection

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

2024年计算机保研夏令营&冬令营通知

关于2024年CS保研实验室/导师招生广告的汇总。欢迎想要打广告的小伙伴积极PR，资瓷一下互联网精神吼不吼啊？

Segment Anything in Medical Images

Official implementation of SAM-Med2D

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.

NLP上手教程

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering

Natural Language Processing Tutorial for Deep Learning Researchers

A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.

Robust loss functions for deep neural networks (CVPR 2017)

A Survey