Lists (9)
Stars
A latent text-to-image diffusion model
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.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
100-Days-Of-ML-Code中文版
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
High-Resolution Image Synthesis with Latent Diffusion Models
PyTorch code and models for the DINOv2 self-supervised learning method.
This repository contains demos I made with the Transformers library by HuggingFace.
LAVIS - A One-stop Library for Language-Vision Intelligence
Code release for NeRF (Neural Radiance Fields)
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Reference PyTorch implementation and models for DINOv3
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
A unified framework for 3D content generation.
NVIDIA Isaac GR00T N1.5 - A Foundation Model for Generalist Robots.
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Acceptance rates for the major AI conferences
Segment Anything in High Quality [NeurIPS 2023]
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Metric depth estimation from a single image
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Efficient neural feature detector and descriptor
Handout for the tutorial "Creating publication-quality figures with matplotlib"