Stars
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Official Code for DragGAN (SIGGRAPH 2023)
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.
PyTorch code and models for the DINOv2 self-supervised learning method.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Unofficial PyTorch implementation of "Meta Pseudo Labels"
Toolbox of models, callbacks, and datasets for AI/ML researchers.
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Fast and Accurate ML in 3 Lines of Code
Open deep learning compiler stack for cpu, gpu and specialized accelerators
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
weiliu89 / caffe
Forked from BVLC/caffeCaffe: a fast open framework for deep learning.
Relation Networks for Object Detection
Deformable Convolutional Networks
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
This is the PyTorch implement of MobileNet V2